I stored the raw files on Github, so I used RCurl with Wehrley’s method that utilizes read.csv to the fullest. It’s one of the best ways I’ve found to read in data and also set data-types at the same time. He’s done a great job on that function. The dataset contains one ID variable, one response variable and ten predictor variables.
library(RCurl,quietly = T)
library(tidyverse,quietly = T)
library(ggplot2,quietly = T)
library(gridExtra,quietly = T)
library(Amelia,quietly = T)
library(beanplot,quietly = T)
library(caret,quietly = T)
library(stringr,quietly = T)
library(party, quietly = T)
# library(rattle, quietly = T)
readData <- function(path.name, file.name, column.types, missing.types) {
gurl <- paste(path.name,file.name,sep="")
download.file(gurl,file.name,method="curl",quiet = T)
tbl_df(read.csv(file.name,colClasses=column.types,
na.strings=missing.types))
}
Titanic.path <- "https://raw.githubusercontent.com/rsangole/Titanic/master/"
train.data.file <- "train.csv"
test.data.file <- "test.csv"
missing.types <- c("NA", "")
train.column.types <- c('integer', # PassengerId
'factor', # Survived
'factor', # Pclass
'character', # Name
'factor', # Sex
'numeric', # Age
'integer', # SibSp
'integer', # Parch
'character', # Ticket
'numeric', # Fare
'character', # Cabin
'factor' # Embarked
)
test.column.types <- train.column.types[-2] # # no Survived column in test.csv
train.raw <- readData(Titanic.path, train.data.file,train.column.types,missing.types)
test.raw <- readData(Titanic.path, test.data.file,test.column.types,missing.types)
prep_data <- function(D) {
if (!is.null(D$Survived)) {
D$Survived <- factor(D$Survived,
levels = c(1, 0),
labels = c('Survived', 'Dead'))
}
D$Pclass <- factor(D$Pclass,
levels = c(1, 2, 3),
labels = c('P1', 'P2', 'P3'))
D$PassengerId <- NULL
D
}
train.raw <- prep_data(train.raw)
test.raw <- prep_data(test.raw)
str(train.raw)Classes ‘tbl_df’, ‘tbl’ and 'data.frame': 891 obs. of 11 variables:
$ Survived: Factor w/ 2 levels "Survived","Dead": 2 1 1 1 2 2 2 2 1 1 ...
$ Pclass : Factor w/ 3 levels "P1","P2","P3": 3 1 3 1 3 3 1 3 3 2 ...
$ Name : chr "Braund, Mr. Owen Harris" "Cumings, Mrs. John Bradley (Florence Briggs Thayer)" "Heikkinen, Miss. Laina" "Futrelle, Mrs. Jacques Heath (Lily May Peel)" ...
$ Sex : Factor w/ 2 levels "female","male": 2 1 1 1 2 2 2 2 1 1 ...
$ Age : num 22 38 26 35 35 NA 54 2 27 14 ...
$ SibSp : int 1 1 0 1 0 0 0 3 0 1 ...
$ Parch : int 0 0 0 0 0 0 0 1 2 0 ...
$ Ticket : chr "A/5 21171" "PC 17599" "STON/O2. 3101282" "113803" ...
$ Fare : num 7.25 71.28 7.92 53.1 8.05 ...
$ Cabin : chr NA "C85" NA "C123" ...
$ Embarked: Factor w/ 3 levels "C","Q","S": 3 1 3 3 3 2 3 3 3 1 ...
Quick investigation of missing values can be done using the complete.cases(), and more thorough graphical summary can be done using Amelia. Overall, 79% of the observations have some missing data.
#Complete cases (percentages)
round(prop.table(table(complete.cases(train.raw))),2)
FALSE TRUE
0.79 0.21
Amelia lets us graphically investigate which variables have missing data. purr::map_xxx() gives this same information numerically in a succint fashion.
missmap(train.raw, main='Missing Values Analysis using Amelia ordered by % missing', col=c('red', 'gray'),legend = F,rank.order = T)#Missing cases (numbers):
map_int(train.raw,~sum(is.na(.x)))Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked
0 0 0 0 177 0 0 0 0 687 2
#Missing cases (percentages):
round(map_dbl(train.raw,~sum(is.na(.x))/length(.x)),2)Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked
0.00 0.00 0.00 0.00 0.20 0.00 0.00 0.00 0.00 0.77 0.00
Cabin has a large number of missing values (77% missing). Imputing this variable may prove challenging or even useless. Age (19.9% missing) and Embarked (0.2%) missing are much more managable.
The first step in the analysis is to explore the data numerically and graphically. I always split up my EDA investigation as follows:
This gives me a structured approach towards larger datasets. My professor at Northwestern taught me to always complete a thorough intimate numeric & graphical EDA on the data, no matter how large the data 1. Anscombe (1973) clearly shows the importance of graphical analyses.
Survived is the response variable. As we can see, a large majority of the passengers did not survive the accident. The response variable is a False/True boolean variable. Thus, the analysis techniques used later will be those appropriate for classification problems.
round(prop.table(table(train.raw$Survived)),2)
Survived Dead
0.38 0.62
The first step is to look at every variable available. I prefer using the ggplot2 framework for all the visuals.
Age seems to have a bimodal distribution - very young children, and then directly young adults to mid-age persons. The 2nd mode is right skewed with no obvious outliers.
Fare certainly shows many outliers beyond the ~$200 level. A majority of the fares are <$50, which makes sense since a majority of the travelers are bound to be in the 3rd passenger class.
p1 <- ggplot(data=train.raw,aes(x=Age))+geom_histogram(bins = 40)
p2 <- ggplot(data=train.raw,aes(x=Fare))+geom_histogram(bins = 40)
grid.arrange(p1,p2)As we can see, the median fare is $14.5, the mean is $32, but the max is $512. We’ll investigate winzorising this variable in the latter part. Perhaps a transformation will also help?
summary(train.raw$Fare) Min. 1st Qu. Median Mean 3rd Qu. Max.
0.00 7.91 14.45 32.20 31.00 512.33
A ggplot command is iterated over for the categorical variables.2
Key takeways for the categorical variables:
Pclass: If you were traveling 1st class, you have the highest chance of survival. Could be indicative of preferential treatment to those who paid more, a less politically correct class-stratified society, as well as the fact that the 1st class passengers had cabins at the very top of the ship.Pclass: Persons traveling 3rd class had the highest fatality rate. 3rd class passengers had cabins deep in the ship. With the reasons give in (1), this could have contributed to the low survival rate.Sex: Males have a very high fatality rate. Seems like the ‘women and children’ first policy was followed during evacuation.SibSp & Parch: What’s interesting here is, for both these variables, at level 0, the fatality rate is higher. At levels 1+, the chances of survival are much better. Again, this could point to the ‘women and children’ policy being followed. (Or perhaps there weren’t as many families with children on board!)Embarked: Southampton has a higher fatality rate than Cherbourg or Queenstown. A cross-tabulation between Embarked and Pclass shows that 72% of the 3rd class passengers and 89% of the 2nd class passengers boarded at Southampton. This jives with the observation that 2nd and 3rd class passengers have higher fatality rates.get_legend<-function(myggplot){
tmp <- ggplot_gtable(ggplot_build(myggplot))
leg <- which(sapply(tmp$grobs, function(x) x$name) == "guide-box")
legend <- tmp$grobs[[leg]]
return(legend)
}
p <- lapply(X = c('Pclass','Sex','SibSp','Parch','Embarked'),
FUN = function(x) ggplot(data = train.raw)+
aes_string(x=x,fill='Survived')+
geom_bar(position="dodge")+
theme(legend.position="none"))
legend <- get_legend(ggplot(data = train.raw,aes(x=Pclass,fill=Survived))+geom_bar())
grid.arrange(p[[1]],p[[2]],p[[3]],p[[4]],p[[5]],legend,layout_matrix =
cbind(c(1,2,3),c(4,5,NA),c(6,6,6)),widths=c(3,3,1))# round(prop.table(table(train.raw$Embarked,train.raw$Pclass),margin = 2),2)Grouped boxplots are a common method of comparing distributions grouped by categorical variables. I find beanplots to be excellent complementary plots to boxplots (and in some cases, even better). They’re a bit tricky to read at first - since they are so underutilized - but just through one plot, a wealth of information can be extracted.3
Here is a comparison of the same information between a boxplot and a beanplot. What can we infer from the bean plot better?
ggplot(train.raw,aes(y=Age,x=Pclass))+geom_boxplot(aes(fill=Survived))+theme_bw()beanplot(Age~Survived*Pclass,side='b',train.raw,col=list('yellow','orange'),
border = c('yellow2','darkorange'),ll = 0.05,boxwex = .5,
main='Passenger survival by pclass and Age',xlab='Passenger Class',ylab='Age')
legend('topright', fill = c('yellow','orange'), legend = c("Dead", "Survived"),bty = 'n',cex = .8)A look into the SibSp and Parch variables shows something interesting. There are three regions one can identify:
SibSp<=3 and Parch<=3, there are better chances for survival.The grouping by Pclass reveals that all the large families were 3rd class travelers. Worse access to help… lowest chance for survival.
These could be simple rules either hard coded during model building: something along the lines of: IF (SibSp>3 OR Parch >3) THEN prediction = 0, or some derived variables can be created.
ggplot(train.raw,aes(y=SibSp,x=Parch))+
geom_jitter(aes(color=Survived,shape=Pclass))+
theme_bw()+
scale_shape(solid=F)+
geom_vline(xintercept = 3,color='darkblue',lty=3)+
geom_hline(yintercept = 3,color='darkblue',lty=3)Starting with the easier one first:
Embarked: The largest portion of the passengers embared at Southhampton. I’m replacing the NAs with the same. First, I create a new imputed training dataset.
summary(train.raw$Embarked) C Q S NA's
168 77 644 2
train.imp <- train.raw
train.imp$Embarked[is.na(train.imp$Embarked)] <- 'S'Names, Titles & Age:
The names have titles embedded in the strings. I can extract these using regex. Master, Miss, Mr and Mrs are the most popular - no surprise there, with lots of other titles. Here’s the distribution of the titles by age. These can be used to impute the missing age values.
train.imp$title <- str_extract(pattern = '[a-zA-Z]+(?=\\.)',string = train.imp$Name)
train.imp$title <- as.factor(train.imp$title)
train.imp %>%
na.omit() %>%
group_by(title) %>%
dplyr::summarise(Count=n(), Median_Age=round(median(Age),0)) %>%
arrange(-Median_Age)ggplot(train.imp,aes(x=title,y=Age))+
stat_summary(aes(y = Age,group=1), fun.y=median, colour="red", geom="point",group=1)+
geom_jitter(shape=21,alpha=.6,col='blue')+
theme_bw()+
theme(axis.text.x = element_text(angle = 45, hjust = 1),legend.position="none")+
labs(caption='Red points are median values')Grouping similar titles together, I’ve kept a few titles - Officer, Royalty, Mr, Mrs and Miss.
train.imp$title <- as.character(train.imp$title)
train.imp$title[train.imp$title %in% c('Col','Major')] <- 'Officer'
train.imp$title[train.imp$title %in% c('Don','Dr','Rev','Sir','Jonkheer','Countess','Lady','Dona')] <- 'Royalty'
train.imp$title[train.imp$title %in% c('Mrs','Mme')] <- 'Mrs'
train.imp$title[train.imp$title %in% c('Ms','Mlle')] <- 'Miss'
train.imp$title <- as.factor(train.imp$title)ggplot(train.imp,aes(x=title,y=Age))+
geom_jitter(color='blue',shape=21,alpha=.7)+
stat_summary(aes(y = Age,group=1), fun.y=median, colour="red", geom="point",group=1)+
theme_bw()+
theme(axis.text.x = element_text(angle = 45, hjust = 1))+
labs(caption='Red points are median values')Now for the missing Age values. I’m trying out two strategies to impute age, just for kicks. First, a regression tree using the rpart method. 5-repeat 10-fold cross validation across a tuning grid of 20 values of maxdepth. RMSE stablizes at a depth of 14, with a value of 12.2.
age.predictors <- train.imp %>%
dplyr::select(-Survived,-Cabin,-Ticket,-Name) %>%
filter(complete.cases(.))
set.seed(1234)
ctrl <- trainControl(method = "boot",
repeats = 5,
number = 200
)
rpartGrid <- data.frame(maxdepth = seq(4,20,2))
rpartFit <- train(Age~.,
data=age.predictors,
method='rpart2',
trControl = ctrl,
tuneGrid = rpartGrid
)Loading required package: rpart
rpartFitCART
714 samples
7 predictor
No pre-processing
Resampling: Bootstrapped (200 reps)
Summary of sample sizes: 714, 714, 714, 714, 714, 714, ...
Resampling results across tuning parameters:
maxdepth RMSE Rsquared
4 11.67106 0.3585743
6 11.45138 0.3836998
8 11.38112 0.3928021
10 11.41985 0.3905082
12 11.42967 0.3898210
14 11.43107 0.3897181
16 11.43164 0.3896674
18 11.43164 0.3896674
20 11.43164 0.3896674
RMSE was used to select the optimal model using the smallest value.
The final value used for the model was maxdepth = 8.
plot(rpartFit)plot(rpartFit$finalModel,margin=0.02)
text(rpartFit$finalModel,cex=0.8)Another way is to run a randomforest with a search over values of mtry using 5-repeat 10-fold cross validation. As we can see mtry=4 is the optimal value which results in the lowest RMSE of 11.4; much better than the rpart model.
set.seed(1234)
rfGrid <- data.frame(mtry=seq(1,6,1))
ctrl <- trainControl(method = "repeatedcv",
repeats = 5
)
rfFit <- train(Age~.,
data=age.predictors,
method='rf',
trControl = ctrl,
tuneGrid = rfGrid)Loading required package: randomForest
randomForest 4.6-12
Type rfNews() to see new features/changes/bug fixes.
Attaching package: ‘randomForest’
The following object is masked from ‘package:gridExtra’:
combine
The following object is masked from ‘package:dplyr’:
combine
The following object is masked from ‘package:ggplot2’:
margin
rfFitRandom Forest
714 samples
7 predictor
No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times)
Summary of sample sizes: 644, 642, 642, 642, 643, 641, ...
Resampling results across tuning parameters:
mtry RMSE Rsquared
1 12.20913 0.4119240
2 11.10796 0.4373821
3 10.86967 0.4445102
4 10.86663 0.4422116
5 10.93245 0.4361199
6 11.02962 0.4280304
RMSE was used to select the optimal model using the smallest value.
The final value used for the model was mtry = 4.
plot(rfFit)I’m going to use the randomForest model. Using the predict.train() to predict values of age and plug them back into the imputed data. You can see the blue points which are the imputed values of Age. What I noticed is that for all the titles, the imputed Age value seems to be distributed fairly well, except Master. For Master, the three imputed are definitely outliers. I’m going to force these to the median Age.
missing.age <- train.imp %>% filter(is.na(Age))
age.predicted <- predict(rfFit, newdata = missing.age)
train.imp %>%
mutate(AgeMissing = is.na(Age),
Age = ifelse(AgeMissing,age.predicted,Age)) %>%
ggplot(aes(x=title,y=Age))+
stat_summary(aes(y = Age,group=1), fun.y=median, colour="red", geom="point",group=1)+
geom_jitter(aes(y=Age,col=AgeMissing),shape=2)+
theme_bw()+
theme(axis.text.x = element_text(angle = 45, hjust = 1),legend.position="none")+
labs(caption='Red points are median values')train.imp$Age[is.na(train.imp$Age)] <- age.predicted
train.imp$Age[train.imp$title=='Master' & train.imp$Age > 20] <- median(train.imp$Age[train.imp$title=='Master'],na.rm = T)Child?: Trying out two engineered variables here - is the passenger a child or not? Using Age=18 as a threshold. And is s/he close enough to be considered a adult by chance? Those between 16 and 18 could be mistaken for not being children. (My way of incorporating a fudge factor in the decision process of ladies & children first.)
train.imp$child <- 0
train.imp$child[train.imp$Age<18] <- 1
train.imp$almostadult <- as.numeric(between(train.imp$Age,16,18))Really young, or really old?: Really young ones and older folks would get priority perhaps. Creating two categorical binary variables for these conditions.
train.imp$Young <- ifelse(train.imp$Age<10,1,0)
train.imp$Seniors <- ifelse(train.imp$Age>60,1,0)Family related: Let’s also create some variables that talk about family sizes. What’s the total family size – continous variable TotalFam. Is the person single, part of a couple or a large family? Three categorical variables for these.
train.imp$TotalFam <- train.imp$SibSp + train.imp$Parch + 1
train.imp$LargeParCh <- as.numeric(train.imp$Parch>=3)
train.imp$LargeSibSp <- as.numeric(train.imp$SibSp>=3)
train.imp$Single <- ifelse(train.imp$TotalFam==1,1,0)
train.imp$Couple <- ifelse(train.imp$TotalFam==2,1,0)
train.imp$Family <- ifelse(train.imp$TotalFam>4,1,0)
train.imp$Name <- NULLCabin related: Extracting the cabin alphabet and number from the cabin variable. Since the cabin numbers could be ordered from left to right or top to bottom on the boat, perhaps only the 1st digit is significant. Also, some folks have more than 1 cabin. Wonder if that’s important. Since lots of unknowns in the Cabin variable, all NA values are replaced by ‘U’. Refering to the deck diagram, the topmost decks are A and B, which are closest to the lifeboats. Perhaps that’s important too. Here, I create a bunch of categorical variables based off the original Cabin, and then remove it from the dataset.
train.imp$CabinMissing <- as.numeric(is.na(train.raw$Cabin))
train.imp$CabinCode <- map_chr(train.raw$Cabin,~str_split(string = .x,pattern = '')[[1]][1])
train.imp$CabinCode[is.na(train.imp$CabinCode)] <- 'U'
train.imp$CabinNum <- as.numeric(map_chr(train.raw$Cabin,~str_split(string = .x,pattern = '[a-zA-Z]')[[1]][2]))
train.imp$CabinNum <- map_int(train.imp$CabinNum, ~as.integer(str_split(.x,pattern = '',simplify = T)[1][1]))
train.imp$CabinNum[is.na(train.imp$CabinNum)] <- 0
train.imp$TopDeck <- ifelse(train.imp$CabinCode %in% c('A','B'),1,0)
train.imp$MidDeck <- ifelse(train.imp$CabinCode %in% c('C','D'),1,0)
train.imp$LowerDeck <- ifelse(train.imp$TopDeck==0 & train.imp$MidDeck ==0 ,1,0)
train.imp$NumberofCabins <- map_int(train.raw$Cabin,~str_split(string = .x,pattern = ' ')[[1]] %>% length)
train.imp$Cabin <- NULLTicket: Lastly, the ticket variable. I’m not sure what to make of it, so I’m keeping it for now, after cleaning it up a bit. A majority (80%) of the rows have unique (one) ticket. 14% rows have a duplicate ticket, perhaps indicating a family. A small number of rows have 3+ duplicates of the tickets.
train.imp$Ticket %>% table() %>% as.numeric() %>% table().
1 2 3 4 5 6 7
547 94 21 11 2 3 3
There seems to be a bit of a pattern here. Tickets starting with 1 are mostly 1st class, those starting with 2 are 2nd class, and 3 - 3rd class. But, I feel it’s a very loose association.
train.imp %>% group_by(Pclass) %>% dplyr::select(Ticket,Pclass) %>% sample_n(5)What I’m going to do is clean up the columns (remove special characters, spaces etc), then split the Ticket column into four: TicketChar, TicketNum,TicketNumLength, TicketNumStart. (Upon running the script a few times, I’ve decided to get rid of TicketNum, but I’m commenting the code for future ref). The TicketChar variable as this distribution:
train.imp %<>%
mutate(
Ticket = str_to_upper(Ticket) %>%
str_replace_all(pattern = regex(pattern = '[.\\/]'),replacement = ''),
TicketNum = str_extract(Ticket,pattern = regex('([0-9]){3,}')),
TicketNumStart = map_int(TicketNum,~as.integer(str_split(.x,pattern = '',simplify = T)[1])),
TicketNumLen = map_int(TicketNum,~dim(str_split(.x,pattern = '',simplify = T))[2]),
TicketChar = str_extract(Ticket,pattern = regex('^[a-zA-Z/\\.]+'))
) %>%
mutate(
TicketChar = map_chr(.x=TicketChar,
.f=~str_split(string=.x, pattern = '',simplify = T)[1])
) %>%
mutate(
TicketChar = ifelse(is.na(TicketChar),'U',TicketChar),
TicketNumStart = ifelse(is.na(TicketNumStart),0,TicketNumStart),
TicketNumLen = ifelse(is.na(TicketNumLen),0,TicketNumLen),
)
train.imp$Ticket <- NULL
train.imp$TicketNum <- NULL
table(train.imp$TicketChar,dnn ='TicketChar')TicketChar
A C F L P S U W
29 47 7 4 65 65 661 13
table(train.imp$TicketNumLen,dnn='TicketNumLen')TicketNumLen
1 3 4 5 6 7
6 7 165 246 423 44
table(train.imp$TicketNumStart,dnn='TicketNumStart')TicketNumStart
0 1 2 3 4 5 6 7 8 9
6 231 230 365 15 9 14 15 3 3
The fare variable has one massive outlier. Winzorising this variable using the 95th percentile value as the cutoff.
# ggplot(train.imp,aes(x=Fare,fill=Pclass))+geom_histogram()+facet_grid(Pclass~.)
# quantile(train.imp$Fare[train.imp$Pclass=='P1'],probs = c(.1,.25,.5,.75,.95))
# train.imp$Fare[train.imp$Fare>232] <- 232The dataset is now prepared for modeling. Here’s a quick review of the data so far. 29 variables in total.
train.imp %>% glimpse()Observations: 891
Variables: 29
$ Survived <fctr> Dead, Survived, Survived, Survived, Dead, Dead, Dead, Dead, Survived, Surv...
$ Pclass <fctr> P3, P1, P3, P1, P3, P3, P1, P3, P3, P2, P3, P1, P3, P3, P3, P2, P3, P2, P3...
$ Sex <fctr> male, female, female, female, male, male, male, male, female, female, fema...
$ Age <dbl> 22.00000, 38.00000, 26.00000, 35.00000, 35.00000, 34.39817, 54.00000, 2.000...
$ SibSp <int> 1, 1, 0, 1, 0, 0, 0, 3, 0, 1, 1, 0, 0, 1, 0, 0, 4, 0, 1, 0, 0, 0, 0, 0, 3, ...
$ Parch <int> 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 1, 0, 0, 5, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, ...
$ Fare <dbl> 7.2500, 71.2833, 7.9250, 53.1000, 8.0500, 8.4583, 51.8625, 21.0750, 11.1333...
$ Embarked <fctr> S, C, S, S, S, Q, S, S, S, C, S, S, S, S, S, S, Q, S, S, C, S, S, Q, S, S,...
$ title <fctr> Mr, Mrs, Miss, Mrs, Mr, Mr, Mr, Master, Mrs, Mrs, Miss, Miss, Mr, Mr, Miss...
$ child <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, ...
$ almostadult <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
$ Young <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, ...
$ Seniors <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
$ TotalFam <dbl> 2, 2, 1, 2, 1, 1, 1, 5, 3, 2, 3, 1, 1, 7, 1, 1, 6, 1, 2, 1, 1, 1, 1, 1, 5, ...
$ LargeParCh <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
$ LargeSibSp <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, ...
$ Single <dbl> 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, ...
$ Couple <dbl> 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, ...
$ Family <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, ...
$ CabinMissing <dbl> 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, ...
$ CabinCode <chr> "U", "C", "U", "C", "U", "U", "E", "U", "U", "U", "G", "C", "U", "U", "U", ...
$ CabinNum <dbl> 0, 8, 0, 1, 0, 0, 4, 0, 0, 0, 6, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 6, 0, ...
$ TopDeck <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, ...
$ MidDeck <dbl> 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, ...
$ LowerDeck <dbl> 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, ...
$ NumberofCabins <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
$ TicketNumStart <dbl> 2, 1, 3, 1, 3, 3, 1, 3, 3, 2, 9, 1, 2, 3, 3, 2, 3, 2, 3, 2, 2, 2, 3, 1, 3, ...
$ TicketNumLen <int> 5, 5, 7, 6, 6, 6, 5, 6, 6, 6, 4, 6, 4, 6, 6, 6, 6, 6, 6, 4, 6, 6, 6, 6, 6, ...
$ TicketChar <chr> "A", "P", "S", "U", "U", "U", "U", "U", "U", "U", "P", "U", "A", "U", "U", ...
I’m experimenting with a few modeling techniques, mainly xgboost, gbm, and penalized models using glmnet. I’ve implemented all these models using caret which I find an absolutely indispensible toolkit to prep, build, tune and explore numerous models using very few lines of code.
For all models, I’m using a 5-repeat 10-fold cross validation technique on the training dataset. Thus, I have not split the training dataset further into test-train sets, given the small number of observations in the dataset.
Furthermore, given the 80:20 class-imbalance, I’m also trying out smote as an class balancing technique for a few models.
Tuning parameter searches (aka hypertuning) is performed using the tuneGrid parameter in the train() call. The best model is selected using the AUC of the ROC. Here are the models and a few intermediate results for each model. At the end, I’ve compared the performance of all the models together.
ctrl <- trainControl(method = "repeatedcv",
repeats = 5,
verboseIter = T,
classProbs = TRUE,
summaryFunction = twoClassSummary
# sampling = 'smote'
)
set.seed(1)
xgbGrid <- expand.grid(
nrounds=c(2,3,4,5,6,7),
max_depth=c(2,3,4,5,6,7),
eta=c(0.3,0.5),
gamma=1,
colsample_bytree=1,
min_child_weight=1,
subsample=1
)
df.smaller <- train.imp %>% dplyr::select(
-almostadult, -LargeParCh, - LargeSibSp,-CabinMissing,-TopDeck,-MidDeck,-LowerDeck,-NumberofCabins
)
dumV <- dummyVars(formula = Survived~.,data = df.smaller)
Dtrain <- predict(dumV,df.smaller)variable 'Survived' is not a factor
xgbsmallFit <- train(
x=Dtrain,
y=train.imp$Survived,
method = 'xgbTree',
trControl = ctrl,
# metric = "Kappa",
tuneGrid = xgbGrid,
verbose = TRUE
)The metric "Accuracy" was not in the result set. ROC will be used instead.
+ Fold01.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
Aggregating results
Selecting tuning parameters
Fitting nrounds = 7, max_depth = 7, eta = 0.3, gamma = 1, colsample_bytree = 1, min_child_weight = 1, subsample = 1 on full training set
save(xgbsmallFit,file = 'xgbsmallFit')
xgbsmallFiteXtreme Gradient Boosting
891 samples
46 predictor
2 classes: 'Survived', 'Dead'
No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times)
Summary of sample sizes: 803, 802, 802, 802, 802, 802, ...
Resampling results across tuning parameters:
eta max_depth nrounds ROC Sens Spec
0.3 2 2 0.8556884 0.6334118 0.8885387
0.3 2 3 0.8654604 0.7113109 0.8703232
0.3 2 4 0.8658020 0.7357983 0.8670505
0.3 2 5 0.8695347 0.7258487 0.8754411
0.3 2 6 0.8714482 0.7328908 0.8695960
0.3 2 7 0.8714367 0.7363529 0.8772593
0.3 3 2 0.8738100 0.7328571 0.8736094
0.3 3 3 0.8789159 0.7468403 0.8753805
0.3 3 4 0.8811594 0.7328067 0.8804848
0.3 3 5 0.8807526 0.7316471 0.8805051
0.3 3 6 0.8796571 0.7310588 0.8808822
0.3 3 7 0.8783530 0.7310420 0.8826869
0.3 4 2 0.8740871 0.7445546 0.8721212
0.3 4 3 0.8771368 0.7357143 0.8779461
0.3 4 4 0.8797836 0.7426555 0.8786801
0.3 4 5 0.8791655 0.7368739 0.8794074
0.3 4 6 0.8796093 0.7315630 0.8826801
0.3 4 7 0.8779942 0.7264202 0.8856229
0.3 5 2 0.8718708 0.7451933 0.8666330
0.3 5 3 0.8764574 0.7346723 0.8732391
0.3 5 4 0.8778251 0.7440000 0.8746869
0.3 5 5 0.8790201 0.7429244 0.8779596
0.3 5 6 0.8827990 0.7387563 0.8867273
0.3 5 7 0.8830757 0.7411597 0.8874478
0.3 6 2 0.8700716 0.7346050 0.8666599
0.3 6 3 0.8740757 0.7415966 0.8750303
0.3 6 4 0.8777554 0.7451092 0.8801481
0.3 6 5 0.8803514 0.7462857 0.8878249
0.3 6 6 0.8815923 0.7445042 0.8907205
0.3 6 7 0.8824275 0.7415462 0.8918249
0.3 7 2 0.8706592 0.7346723 0.8677710
0.3 7 3 0.8747489 0.7358151 0.8827071
0.3 7 4 0.8775146 0.7369580 0.8878182
0.3 7 5 0.8798191 0.7428067 0.8921953
0.3 7 6 0.8840126 0.7428403 0.8914613
0.3 7 7 0.8844278 0.7428403 0.8903636
0.5 2 2 0.8560680 0.6396975 0.8867205
0.5 2 3 0.8630652 0.7305378 0.8732525
0.5 2 4 0.8662158 0.7293445 0.8732525
0.5 2 5 0.8682644 0.7381345 0.8732458
0.5 2 6 0.8690259 0.7369076 0.8747138
0.5 2 7 0.8714859 0.7357143 0.8794545
0.5 3 2 0.8738361 0.7276471 0.8757576
0.5 3 3 0.8772491 0.7398992 0.8754209
0.5 3 4 0.8758445 0.7305714 0.8889226
0.5 3 5 0.8759446 0.7276303 0.8885724
0.5 3 6 0.8767676 0.7288235 0.8874815
0.5 3 7 0.8753185 0.7316471 0.8896498
0.5 4 2 0.8749563 0.7351933 0.8819394
0.5 4 3 0.8786638 0.7288235 0.8805253
0.5 4 4 0.8774636 0.7117479 0.8874343
0.5 4 5 0.8770289 0.7153109 0.8910909
0.5 4 6 0.8787153 0.7205714 0.8943704
0.5 4 7 0.8778633 0.7275630 0.8932727
0.5 5 2 0.8750314 0.7353277 0.8691919
0.5 5 3 0.8757035 0.7264538 0.8798182
0.5 5 4 0.8771633 0.7305378 0.8860067
0.5 5 5 0.8797299 0.7293782 0.8896431
0.5 5 6 0.8774501 0.7293950 0.8918249
0.5 5 7 0.8765938 0.7287563 0.8943771
0.5 6 2 0.8726515 0.7316639 0.8779663
0.5 6 3 0.8782474 0.7281849 0.8892660
0.5 6 4 0.8814875 0.7351765 0.8889293
0.5 6 5 0.8813645 0.7339832 0.8903973
0.5 6 6 0.8795382 0.7304202 0.8922088
0.5 6 7 0.8794079 0.7333613 0.8882088
0.5 7 2 0.8750772 0.7375462 0.8794343
0.5 7 3 0.8783561 0.7392101 0.8881953
0.5 7 4 0.8772103 0.7345714 0.8900067
0.5 7 5 0.8775341 0.7333277 0.8936296
0.5 7 6 0.8799568 0.7327395 0.8932727
0.5 7 7 0.8803333 0.7344538 0.8903636
Tuning parameter 'gamma' was held constant at a value of 1
Tuning
parameter 'min_child_weight' was held constant at a value of 1
Tuning parameter
'subsample' was held constant at a value of 1
ROC was used to select the optimal model using the largest value.
The final values used for the model were nrounds = 7, max_depth = 7, eta = 0.3, gamma =
1, colsample_bytree = 1, min_child_weight = 1 and subsample = 1.
plot(xgbsmallFit)xgb.importance(feature_names = colnames(Dtrain),model = xgbsmallFit$finalModel) %>%
xgb.ggplot.importance()densityplot(xgbsmallFit,pch='|')predict(xgbsmallFit,type = 'prob') -> train.Probs
histogram(~Survived+Dead,train.Probs)ctrl <- trainControl(method = "repeatedcv",
repeats = 5,
verboseIter = T,
classProbs = TRUE,
summaryFunction = twoClassSummary
# sampling = 'smote'
)
set.seed(1)
xgbGrid <- expand.grid(
nrounds=c(2,3,4,5,6,7),
max_depth=c(2,3,4,5,6,7),
eta=c(0.3,0.5),
gamma=1,
colsample_bytree=1,
min_child_weight=1,
subsample=1
)
dumV <- dummyVars(formula = Survived~.,data = train.imp)
Dtrain <- predict(dumV,train.imp)variable 'Survived' is not a factor
xgbFit <- train(
x=Dtrain,
y=train.imp$Survived,
method = 'xgbTree',
trControl = ctrl,
# metric = "Kappa",
tuneGrid = xgbGrid,
verbose = TRUE
)The metric "Accuracy" was not in the result set. ROC will be used instead.
+ Fold01.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
Aggregating results
Selecting tuning parameters
Fitting nrounds = 7, max_depth = 6, eta = 0.3, gamma = 1, colsample_bytree = 1, min_child_weight = 1, subsample = 1 on full training set
save(xgbFit,file = 'xgbFit')
xgbFiteXtreme Gradient Boosting
891 samples
54 predictor
2 classes: 'Survived', 'Dead'
No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times)
Summary of sample sizes: 803, 802, 802, 802, 802, 802, ...
Resampling results across tuning parameters:
eta max_depth nrounds ROC Sens Spec
0.3 2 2 0.8556884 0.6334118 0.8885387
0.3 2 3 0.8654604 0.7113109 0.8703232
0.3 2 4 0.8658020 0.7357983 0.8670505
0.3 2 5 0.8695347 0.7258487 0.8754411
0.3 2 6 0.8714482 0.7328908 0.8695960
0.3 2 7 0.8714367 0.7363529 0.8772593
0.3 3 2 0.8738046 0.7328571 0.8736094
0.3 3 3 0.8788411 0.7468403 0.8753805
0.3 3 4 0.8809543 0.7328067 0.8804848
0.3 3 5 0.8806980 0.7316471 0.8805051
0.3 3 6 0.8795269 0.7304706 0.8808822
0.3 3 7 0.8784369 0.7310420 0.8826869
0.3 4 2 0.8744658 0.7451092 0.8728485
0.3 4 3 0.8772540 0.7345378 0.8804916
0.3 4 4 0.8796549 0.7409244 0.8812256
0.3 4 5 0.8796899 0.7350924 0.8794074
0.3 4 6 0.8795376 0.7304202 0.8830438
0.3 4 7 0.8790546 0.7293445 0.8859865
0.3 5 2 0.8721729 0.7422857 0.8666330
0.3 5 3 0.8765540 0.7346555 0.8721481
0.3 5 4 0.8775033 0.7381345 0.8772323
0.3 5 5 0.8795628 0.7416639 0.8794209
0.3 5 6 0.8815285 0.7392773 0.8896364
0.3 5 7 0.8817230 0.7364538 0.8889024
0.3 6 2 0.8695118 0.7311429 0.8677508
0.3 6 3 0.8740689 0.7386891 0.8793939
0.3 6 4 0.8775060 0.7376303 0.8812458
0.3 6 5 0.8807806 0.7410420 0.8910976
0.3 6 6 0.8823535 0.7410252 0.8940000
0.3 6 7 0.8843208 0.7375294 0.8925589
0.3 7 2 0.8698308 0.7311429 0.8681212
0.3 7 3 0.8735798 0.7392437 0.8826936
0.3 7 4 0.8775160 0.7375126 0.8863636
0.3 7 5 0.8804058 0.7351765 0.8870909
0.3 7 6 0.8817557 0.7399160 0.8892795
0.3 7 7 0.8829669 0.7386555 0.8892795
0.5 2 2 0.8560680 0.6396975 0.8867205
0.5 2 3 0.8630652 0.7305378 0.8732525
0.5 2 4 0.8662158 0.7293445 0.8732525
0.5 2 5 0.8682644 0.7381345 0.8732458
0.5 2 6 0.8690695 0.7369076 0.8747138
0.5 2 7 0.8715458 0.7357143 0.8794545
0.5 3 2 0.8738148 0.7276471 0.8757576
0.5 3 3 0.8771514 0.7398992 0.8754209
0.5 3 4 0.8760675 0.7299832 0.8900135
0.5 3 5 0.8772045 0.7288235 0.8874815
0.5 3 6 0.8775496 0.7317647 0.8874680
0.5 3 7 0.8765915 0.7310588 0.8878316
0.5 4 2 0.8750142 0.7334454 0.8826667
0.5 4 3 0.8794175 0.7311597 0.8816162
0.5 4 4 0.8791478 0.7199832 0.8881616
0.5 4 5 0.8785016 0.7211261 0.8899798
0.5 4 6 0.8797678 0.7223193 0.8947205
0.5 4 7 0.8776500 0.7216975 0.8965455
0.5 5 2 0.8754529 0.7329916 0.8710101
0.5 5 3 0.8765714 0.7334118 0.8812727
0.5 5 4 0.8785961 0.7324034 0.8863704
0.5 5 5 0.8805149 0.7264874 0.8900000
0.5 5 6 0.8771990 0.7218151 0.8910976
0.5 5 7 0.8783431 0.7241008 0.8914613
0.5 6 2 0.8713455 0.7246723 0.8765118
0.5 6 3 0.8780508 0.7311092 0.8845320
0.5 6 4 0.8798216 0.7351429 0.8874747
0.5 6 5 0.8809679 0.7351597 0.8925522
0.5 6 6 0.8799391 0.7252269 0.8940135
0.5 6 7 0.8799535 0.7257143 0.8910976
0.5 7 2 0.8749475 0.7364034 0.8805118
0.5 7 3 0.8789942 0.7375294 0.8921953
0.5 7 4 0.8795107 0.7398319 0.8914545
0.5 7 5 0.8795336 0.7327899 0.8921751
0.5 7 6 0.8819705 0.7357143 0.8928956
0.5 7 7 0.8817717 0.7346050 0.8961818
Tuning parameter 'gamma' was held constant at a value of 1
Tuning
parameter 'min_child_weight' was held constant at a value of 1
Tuning parameter
'subsample' was held constant at a value of 1
ROC was used to select the optimal model using the largest value.
The final values used for the model were nrounds = 7, max_depth = 6, eta = 0.3, gamma =
1, colsample_bytree = 1, min_child_weight = 1 and subsample = 1.
plot(xgbFit)xgb.importance(feature_names = colnames(Dtrain),model = xgbFit$finalModel) %>%
xgb.ggplot.importance()densityplot(xgbFit,pch='|')predict(xgbFit,type = 'prob') -> train.Probs
histogram(~Survived+Dead,train.Probs)ctrl <- trainControl(method = 'LGOCV',
number = 50,
verboseIter = T,
classProbs = TRUE,
summaryFunction = twoClassSummary
# sampling = 'smote'
)
set.seed(1)
xgbGrid <- expand.grid(
nrounds=c(2,3,4,5,6,7),
max_depth=c(2,3,4,5,6,7),
eta=c(0.3,0.5),
gamma=1,
colsample_bytree=1,
min_child_weight=1,
subsample=1
)
dumV <- dummyVars(formula = Survived~.,data = train.imp)
Dtrain <- predict(dumV,train.imp)variable 'Survived' is not a factor
xgbFit.LGOCV <- train(
x=Dtrain,
y=train.imp$Survived,
method = 'xgbTree',
trControl = ctrl,
# metric = "Kappa",
tuneGrid = xgbGrid,
verbose = TRUE
)The metric "Accuracy" was not in the result set. ROC will be used instead.
+ Resample01: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample01: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample01: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample01: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample01: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample01: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample01: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample01: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample01: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample01: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample01: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample01: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample01: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample01: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample01: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample01: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample01: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample01: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample01: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample01: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample01: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample01: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample01: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample01: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample02: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample02: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample02: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample02: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample02: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample02: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample02: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample02: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample02: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample02: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample02: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample02: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample02: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample02: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample02: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample02: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample02: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample02: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample02: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample02: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample02: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample02: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample02: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample02: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample03: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample03: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample03: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample03: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample03: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample03: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample03: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample03: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample03: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample03: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample03: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample03: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample03: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample03: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample03: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample03: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample03: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample03: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample03: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample03: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample03: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample03: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample03: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample03: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample04: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample04: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample04: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample04: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample04: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample04: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample04: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample04: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample04: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample04: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample04: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample04: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample04: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample04: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample04: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample04: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample04: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample04: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample04: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample04: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample04: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample04: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample04: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample04: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample05: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample05: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample05: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample05: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample05: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample05: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample05: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample05: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample05: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample05: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample05: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample05: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample05: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample05: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample05: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample05: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample05: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample05: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample05: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample05: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample05: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample05: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample05: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample05: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample06: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample06: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample06: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample06: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample06: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample06: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample06: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample06: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample06: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample06: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample06: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample06: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample06: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample06: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample06: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample06: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample06: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample06: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample06: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample06: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample06: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample06: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample06: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample06: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample07: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample07: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample07: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample07: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample07: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample07: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample07: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample07: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample07: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample07: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample07: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample07: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample07: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample07: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample07: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample07: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample07: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample07: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample07: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample07: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample07: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample07: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample07: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample07: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample08: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample08: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample08: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample08: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample08: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample08: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample08: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample08: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample08: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample08: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample08: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample08: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample08: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample08: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample08: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample08: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample08: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample08: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample08: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample08: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample08: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample08: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample08: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample08: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample09: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample09: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample09: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample09: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample09: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample09: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample09: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample09: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample09: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample09: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample09: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample09: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample09: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample09: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample09: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample09: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample09: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample09: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample09: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample09: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample09: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample09: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample09: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample09: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample10: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample10: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample10: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample10: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample10: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample10: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample10: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample10: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample10: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample10: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample10: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample10: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample10: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample10: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample10: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample10: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample10: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample10: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample10: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample10: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample10: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample10: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample10: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample10: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample11: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample11: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample11: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample11: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample11: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample11: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample11: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample11: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample11: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample11: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample11: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample11: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample11: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample11: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample11: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample11: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample11: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample11: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample11: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample11: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample11: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample11: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample11: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample11: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample12: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample12: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample12: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample12: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample12: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample12: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample12: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample12: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample12: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample12: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample12: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample12: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample12: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample12: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample12: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample12: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample12: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample12: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample12: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample12: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample12: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample12: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample12: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample12: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample13: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample13: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample13: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample13: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample13: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample13: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample13: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample13: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample13: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample13: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample13: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample13: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample13: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample13: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample13: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample13: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample13: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample13: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample13: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample13: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample13: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample13: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample13: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample13: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample14: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample14: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample14: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample14: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample14: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample14: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample14: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample14: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample14: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample14: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample14: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample14: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample14: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample14: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample14: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample14: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample14: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample14: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample14: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample14: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample14: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample14: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample14: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample14: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample15: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample15: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample15: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample15: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample15: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample15: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample15: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample15: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample15: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample15: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample15: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample15: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample15: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample15: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample15: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample15: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample15: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample15: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample15: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample15: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample15: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample15: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample15: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample15: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample16: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample16: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample16: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample16: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample16: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample16: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample16: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample16: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample16: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample16: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample16: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample16: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample16: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample16: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample16: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample16: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample16: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample16: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample16: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample16: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample16: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample16: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample16: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample16: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample17: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample17: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample17: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample17: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample17: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample17: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample17: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample17: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample17: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample17: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample17: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample17: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample17: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample17: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample17: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample17: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample17: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample17: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample17: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample17: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample17: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample17: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample17: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample17: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample18: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample18: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample18: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample18: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample18: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample18: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample18: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample18: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample18: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample18: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample18: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample18: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample18: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample18: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample18: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample18: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample18: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample18: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample18: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample18: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample18: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample18: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample18: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample18: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample19: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample19: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample19: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample19: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample19: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample19: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample19: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample19: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample19: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample19: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample19: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample19: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample19: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample19: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample19: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample19: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample19: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample19: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample19: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample19: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample19: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample19: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample19: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample19: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample20: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample20: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample20: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample20: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample20: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample20: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample20: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample20: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample20: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample20: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample20: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample20: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample20: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample20: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample20: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample20: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample20: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample20: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample20: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample20: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample20: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample20: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample20: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample20: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample21: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample21: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample21: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample21: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample21: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample21: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample21: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample21: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample21: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample21: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample21: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample21: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample21: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample21: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample21: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample21: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample21: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample21: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample21: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample21: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample21: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample21: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample21: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample21: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample22: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample22: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample22: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample22: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample22: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample22: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample22: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample22: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample22: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample22: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample22: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample22: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample22: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample22: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample22: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample22: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample22: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample22: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample22: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample22: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample22: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample22: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample22: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample22: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample23: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample23: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample23: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample23: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample23: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample23: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample23: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample23: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample23: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample23: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample23: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample23: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample23: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample23: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample23: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample23: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample23: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample23: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample23: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample23: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample23: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample23: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample23: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample23: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample24: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample24: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample24: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample24: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample24: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample24: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample24: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample24: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample24: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample24: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample24: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample24: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample24: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample24: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample24: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample24: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample24: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample24: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample24: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample24: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample24: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample24: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample24: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample24: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample25: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample25: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample25: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample25: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample25: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample25: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample25: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample25: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample25: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample25: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample25: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample25: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample25: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample25: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample25: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample25: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample25: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample25: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample25: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample25: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample25: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample25: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample25: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample25: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample26: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample26: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample26: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample26: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample26: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample26: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample26: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample26: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample26: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample26: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample26: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample26: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample26: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample26: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample26: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample26: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample26: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample26: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample26: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample26: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample26: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample26: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample26: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample26: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample27: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample27: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample27: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample27: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample27: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample27: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample27: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample27: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample27: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample27: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample27: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample27: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample27: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample27: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample27: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample27: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample27: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample27: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample27: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample27: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample27: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample27: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample27: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample27: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample28: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample28: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample28: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample28: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample28: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample28: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample28: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample28: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample28: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample28: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample28: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample28: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample28: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample28: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample28: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample28: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample28: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample28: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample28: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample28: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample28: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample28: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample28: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample28: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample29: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample29: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample29: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample29: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample29: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample29: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample29: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample29: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample29: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample29: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample29: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample29: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample29: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample29: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample29: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample29: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample29: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample29: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample29: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample29: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample29: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample29: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample29: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample29: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample30: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample30: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample30: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample30: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample30: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample30: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample30: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample30: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample30: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample30: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample30: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample30: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample30: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample30: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample30: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample30: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample30: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample30: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample30: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample30: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample30: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample30: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample30: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample30: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample31: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample31: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample31: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample31: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample31: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample31: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample31: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample31: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample31: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample31: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample31: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample31: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample31: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample31: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample31: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample31: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample31: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample31: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample31: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample31: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample31: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample31: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample31: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample31: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample32: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample32: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample32: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample32: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample32: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample32: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample32: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample32: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample32: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample32: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample32: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample32: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample32: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample32: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample32: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample32: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample32: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample32: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample32: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample32: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample32: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample32: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample32: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample32: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample33: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample33: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample33: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample33: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample33: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample33: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample33: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample33: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample33: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample33: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample33: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample33: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample33: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample33: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample33: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample33: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample33: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample33: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample33: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample33: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample33: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample33: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample33: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample33: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample34: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample34: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample34: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample34: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample34: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample34: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample34: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample34: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample34: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample34: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample34: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample34: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample34: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample34: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample34: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample34: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample34: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample34: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample34: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample34: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample34: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample34: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample34: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample34: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample35: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample35: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample35: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample35: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample35: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample35: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample35: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample35: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample35: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample35: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample35: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample35: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample35: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample35: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample35: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample35: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample35: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample35: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample35: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample35: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample35: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample35: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample35: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample35: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample36: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample36: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample36: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample36: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample36: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample36: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample36: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample36: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample36: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample36: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample36: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample36: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample36: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample36: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample36: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample36: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample36: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample36: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample36: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample36: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample36: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample36: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample36: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample36: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample37: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample37: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample37: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample37: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample37: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample37: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample37: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample37: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample37: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample37: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample37: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample37: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample37: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample37: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample37: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample37: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample37: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample37: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample37: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample37: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample37: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample37: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample37: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample37: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample38: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample38: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample38: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample38: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample38: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample38: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample38: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample38: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample38: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample38: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample38: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample38: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample38: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample38: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample38: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample38: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample38: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample38: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample38: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample38: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample38: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample38: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample38: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample38: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample39: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample39: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample39: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample39: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample39: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample39: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample39: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample39: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample39: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample39: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample39: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample39: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample39: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample39: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample39: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample39: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample39: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample39: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample39: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample39: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample39: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample39: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample39: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample39: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample40: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample40: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample40: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample40: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample40: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample40: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample40: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample40: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample40: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample40: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample40: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample40: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample40: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample40: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample40: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample40: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample40: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample40: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample40: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample40: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample40: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample40: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample40: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample40: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample41: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample41: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample41: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample41: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample41: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample41: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample41: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample41: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample41: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample41: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample41: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample41: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample41: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample41: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample41: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample41: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample41: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample41: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample41: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample41: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample41: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample41: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample41: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample41: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample42: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample42: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample42: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample42: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample42: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample42: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample42: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample42: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample42: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample42: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample42: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample42: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample42: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample42: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample42: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample42: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample42: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample42: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample42: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample42: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample42: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample42: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample42: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample42: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample43: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample43: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample43: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample43: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample43: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample43: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample43: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample43: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample43: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample43: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample43: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample43: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample43: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample43: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample43: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample43: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample43: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample43: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample43: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample43: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample43: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample43: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample43: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample43: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample44: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample44: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample44: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample44: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample44: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample44: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample44: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample44: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample44: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample44: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample44: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample44: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample44: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample44: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample44: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample44: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample44: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample44: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample44: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample44: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample44: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample44: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample44: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample44: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample45: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample45: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample45: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample45: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample45: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample45: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample45: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample45: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample45: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample45: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample45: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample45: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample45: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample45: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample45: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample45: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample45: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample45: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample45: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample45: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample45: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample45: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample45: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample45: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample46: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample46: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample46: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample46: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample46: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample46: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample46: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample46: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample46: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample46: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample46: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample46: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample46: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample46: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample46: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample46: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample46: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample46: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample46: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample46: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample46: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample46: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample46: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample46: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample47: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample47: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample47: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample47: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample47: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample47: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample47: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample47: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample47: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample47: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample47: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample47: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample47: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample47: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample47: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample47: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample47: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample47: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample47: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample47: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample47: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample47: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample47: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample47: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample48: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample48: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample48: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample48: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample48: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample48: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample48: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample48: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample48: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample48: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample48: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample48: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample48: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample48: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample48: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample48: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample48: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample48: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample48: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample48: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample48: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample48: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample48: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample48: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample49: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample49: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample49: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample49: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample49: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample49: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample49: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample49: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample49: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample49: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample49: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample49: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample49: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample49: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample49: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample49: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample49: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample49: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample49: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample49: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample49: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample49: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample49: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample49: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample50: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample50: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample50: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample50: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample50: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample50: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample50: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample50: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample50: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample50: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample50: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample50: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample50: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample50: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample50: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample50: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample50: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample50: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample50: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample50: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample50: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample50: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Resample50: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Resample50: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
Aggregating results
Selecting tuning parameters
Fitting nrounds = 7, max_depth = 5, eta = 0.3, gamma = 1, colsample_bytree = 1, min_child_weight = 1, subsample = 1 on full training set
save(xgbFit.LGOCV,file = 'xgbFit.LGOCV')
xgbFit.LGOCVeXtreme Gradient Boosting
891 samples
54 predictor
2 classes: 'Survived', 'Dead'
No pre-processing
Resampling: Repeated Train/Test Splits Estimated (50 reps, 75%)
Summary of sample sizes: 669, 669, 669, 669, 669, 669, ...
Resampling results across tuning parameters:
eta max_depth nrounds ROC Sens Spec
0.3 2 2 0.8522473 0.6621176 0.8802920
0.3 2 3 0.8600979 0.6950588 0.8747445
0.3 2 4 0.8643727 0.7310588 0.8665693
0.3 2 5 0.8672314 0.7254118 0.8702190
0.3 2 6 0.8679571 0.7240000 0.8687591
0.3 2 7 0.8687711 0.7270588 0.8680292
0.3 3 2 0.8644096 0.7256471 0.8661314
0.3 3 3 0.8704259 0.7336471 0.8670073
0.3 3 4 0.8730915 0.7289412 0.8729927
0.3 3 5 0.8748098 0.7280000 0.8743066
0.3 3 6 0.8747462 0.7320000 0.8732847
0.3 3 7 0.8746157 0.7261176 0.8779562
0.3 4 2 0.8662198 0.7352941 0.8608759
0.3 4 3 0.8697535 0.7277647 0.8700730
0.3 4 4 0.8735492 0.7235294 0.8743066
0.3 4 5 0.8740962 0.7216471 0.8760584
0.3 4 6 0.8740627 0.7195294 0.8766423
0.3 4 7 0.8746741 0.7183529 0.8781022
0.3 5 2 0.8641717 0.7211765 0.8627737
0.3 5 3 0.8678420 0.7223529 0.8661314
0.3 5 4 0.8716900 0.7204706 0.8719708
0.3 5 5 0.8742293 0.7256471 0.8747445
0.3 5 6 0.8745633 0.7237647 0.8753285
0.3 5 7 0.8762851 0.7230588 0.8808759
0.3 6 2 0.8636883 0.7188235 0.8662774
0.3 6 3 0.8680799 0.7143529 0.8732847
0.3 6 4 0.8706166 0.7228235 0.8747445
0.3 6 5 0.8731524 0.7225882 0.8751825
0.3 6 6 0.8749996 0.7244706 0.8764964
0.3 6 7 0.8755663 0.7247059 0.8795620
0.3 7 2 0.8632151 0.7188235 0.8630657
0.3 7 3 0.8677784 0.7143529 0.8737226
0.3 7 4 0.8693517 0.7183529 0.8745985
0.3 7 5 0.8729781 0.7277647 0.8767883
0.3 7 6 0.8727265 0.7282353 0.8792701
0.3 7 7 0.8742525 0.7301176 0.8801460
0.5 2 2 0.8553748 0.6670588 0.8783942
0.5 2 3 0.8626200 0.7117647 0.8699270
0.5 2 4 0.8663924 0.7263529 0.8639416
0.5 2 5 0.8695234 0.7242353 0.8703650
0.5 2 6 0.8712057 0.7254118 0.8735766
0.5 2 7 0.8718849 0.7254118 0.8756204
0.5 3 2 0.8677913 0.7254118 0.8710949
0.5 3 3 0.8717158 0.7214118 0.8716788
0.5 3 4 0.8727583 0.7242353 0.8725547
0.5 3 5 0.8728295 0.7103529 0.8832117
0.5 3 6 0.8727849 0.7148235 0.8859854
0.5 3 7 0.8727746 0.7157647 0.8833577
0.5 4 2 0.8676230 0.7209412 0.8706569
0.5 4 3 0.8720326 0.7209412 0.8737226
0.5 4 4 0.8723495 0.7185882 0.8808759
0.5 4 5 0.8706964 0.7115294 0.8845255
0.5 4 6 0.8705255 0.7141176 0.8823358
0.5 4 7 0.8715105 0.7178824 0.8816058
0.5 5 2 0.8667239 0.7124706 0.8718248
0.5 5 3 0.8702061 0.7160000 0.8745985
0.5 5 4 0.8712735 0.7157647 0.8788321
0.5 5 5 0.8728733 0.7136471 0.8830657
0.5 5 6 0.8730262 0.7185882 0.8845255
0.5 5 7 0.8730837 0.7214118 0.8820438
0.5 6 2 0.8659493 0.7167059 0.8725547
0.5 6 3 0.8695578 0.7209412 0.8735766
0.5 6 4 0.8717630 0.7183529 0.8798540
0.5 6 5 0.8730588 0.7197647 0.8801460
0.5 6 6 0.8726028 0.7211765 0.8804380
0.5 6 7 0.8718429 0.7232941 0.8814599
0.5 7 2 0.8654032 0.7240000 0.8690511
0.5 7 3 0.8700026 0.7237647 0.8731387
0.5 7 4 0.8711370 0.7237647 0.8764964
0.5 7 5 0.8721623 0.7275294 0.8804380
0.5 7 6 0.8720687 0.7247059 0.8829197
0.5 7 7 0.8715921 0.7256471 0.8830657
Tuning parameter 'gamma' was held constant at a value of 1
Tuning
parameter 'min_child_weight' was held constant at a value of 1
Tuning parameter
'subsample' was held constant at a value of 1
ROC was used to select the optimal model using the largest value.
The final values used for the model were nrounds = 7, max_depth = 5, eta = 0.3, gamma =
1, colsample_bytree = 1, min_child_weight = 1 and subsample = 1.
plot(xgbFit.LGOCV)xgb.importance(feature_names = colnames(Dtrain),model = xgbFit.LGOCV$finalModel) %>%
xgb.ggplot.importance()densityplot(xgbFit.LGOCV,pch='|')predict(xgbFit.LGOCV,type = 'prob') -> train.Probs
histogram(~Survived+Dead,train.Probs)ctrl <- trainControl(method = "repeatedcv",
repeats = 5,
verboseIter = T,
classProbs = TRUE,
summaryFunction = twoClassSummary,
sampling = 'smote'
)
xgbGrid <- expand.grid(
nrounds=c(2,3,4,5,6,7),
max_depth=c(2,3,4,5,6,7),
eta=c(0.3,0.5),
gamma=1,
colsample_bytree=1,
min_child_weight=1,
subsample=1
)
dumV <- dummyVars(formula = Survived~.,data = train.imp)
Dtrain <- predict(dumV,train.imp)variable 'Survived' is not a factor
set.seed(1)
xgbsmoteFit <- train(
x=Dtrain,
y=train.imp$Survived,
method = 'xgbTree',
trControl = ctrl,
# metric = "Kappa",
tuneGrid = xgbGrid,
verbose = TRUE
)The metric "Accuracy" was not in the result set. ROC will be used instead.
+ Fold01.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
Attaching package: ‘DMwR’
The following object is masked from ‘package:plyr’:
join
- Fold01.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
Aggregating results
Selecting tuning parameters
Fitting nrounds = 5, max_depth = 4, eta = 0.5, gamma = 1, colsample_bytree = 1, min_child_weight = 1, subsample = 1 on full training set
save(xgbsmoteFit,file = 'xgbsmoteFit')
xgbsmoteFiteXtreme Gradient Boosting
891 samples
54 predictor
2 classes: 'Survived', 'Dead'
No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times)
Summary of sample sizes: 803, 802, 802, 802, 802, 802, ...
Addtional sampling using SMOTE
Resampling results across tuning parameters:
eta max_depth nrounds ROC Sens Spec
0.3 2 2 0.8425141 0.5939328 0.9082559
0.3 2 3 0.8495148 0.6405882 0.9020606
0.3 2 4 0.8549931 0.6597479 0.9017037
0.3 2 5 0.8614070 0.6569580 0.9038519
0.3 2 6 0.8631446 0.6602185 0.9045993
0.3 2 7 0.8673478 0.6487899 0.9104512
0.3 3 2 0.8617172 0.6277815 0.9166330
0.3 3 3 0.8640528 0.6108067 0.9228215
0.3 3 4 0.8636005 0.6107059 0.9257374
0.3 3 5 0.8648109 0.6049580 0.9271852
0.3 3 6 0.8677717 0.6043697 0.9275421
0.3 3 7 0.8722376 0.6066555 0.9311852
0.3 4 2 0.8606880 0.6018824 0.9319192
0.3 4 3 0.8657498 0.6134286 0.9301347
0.3 4 4 0.8691203 0.6094118 0.9366801
0.3 4 5 0.8718354 0.6158487 0.9395758
0.3 4 6 0.8746340 0.6058655 0.9424848
0.3 4 7 0.8743984 0.6141008 0.9410236
0.3 5 2 0.8593103 0.6011597 0.9326330
0.3 5 3 0.8599967 0.5953613 0.9326263
0.3 5 4 0.8647592 0.6069076 0.9351785
0.3 5 5 0.8685488 0.6115966 0.9322626
0.3 5 6 0.8715015 0.6081849 0.9351650
0.3 5 7 0.8733777 0.6204538 0.9329899
0.3 6 2 0.8573686 0.6194958 0.9242492
0.3 6 3 0.8574173 0.6206555 0.9238788
0.3 6 4 0.8616459 0.6195126 0.9260606
0.3 6 5 0.8644280 0.6316807 0.9249630
0.3 6 6 0.8688824 0.6340336 0.9242357
0.3 6 7 0.8702099 0.6474454 0.9253266
0.3 7 2 0.8588987 0.6287731 0.9209764
0.3 7 3 0.8655801 0.6258655 0.9217172
0.3 7 4 0.8678739 0.6365210 0.9238855
0.3 7 5 0.8682270 0.6458487 0.9242357
0.3 7 6 0.8690989 0.6505042 0.9235152
0.3 7 7 0.8704751 0.6592605 0.9205993
0.5 2 2 0.8489131 0.6374958 0.9082492
0.5 2 3 0.8597241 0.6752101 0.8965791
0.5 2 4 0.8640828 0.6272269 0.9159125
0.5 2 5 0.8644620 0.6236639 0.9206195
0.5 2 6 0.8694637 0.6189580 0.9231919
0.5 2 7 0.8718436 0.6084370 0.9272054
0.5 3 2 0.8619725 0.6208235 0.9224242
0.5 3 3 0.8658253 0.6019832 0.9278990
0.5 3 4 0.8679358 0.5978824 0.9297104
0.5 3 5 0.8701401 0.6100840 0.9293333
0.5 3 6 0.8745597 0.6065210 0.9344242
0.5 3 7 0.8738510 0.6094958 0.9384512
0.5 4 2 0.8633949 0.5978319 0.9435758
0.5 4 3 0.8699653 0.6077983 0.9373939
0.5 4 4 0.8758261 0.6049244 0.9384781
0.5 4 5 0.8771886 0.6223697 0.9359259
0.5 4 6 0.8767907 0.6211261 0.9366532
0.5 4 7 0.8764811 0.6334622 0.9337306
0.5 5 2 0.8605840 0.6012269 0.9301212
0.5 5 3 0.8668207 0.6024538 0.9297239
0.5 5 4 0.8706706 0.6158824 0.9286330
0.5 5 5 0.8711896 0.6269580 0.9264512
0.5 5 6 0.8715798 0.6438319 0.9242559
0.5 5 7 0.8721973 0.6503361 0.9271650
0.5 6 2 0.8615808 0.6229748 0.9198788
0.5 6 3 0.8646834 0.6409916 0.9187609
0.5 6 4 0.8671448 0.6427563 0.9162088
0.5 6 5 0.8682921 0.6545546 0.9147475
0.5 6 6 0.8709955 0.6627395 0.9125724
0.5 6 7 0.8747280 0.6703529 0.9118384
0.5 7 2 0.8663135 0.6382353 0.9249562
0.5 7 3 0.8652528 0.6486723 0.9216970
0.5 7 4 0.8690454 0.6597143 0.9191515
0.5 7 5 0.8719608 0.6679328 0.9154949
0.5 7 6 0.8742060 0.6737143 0.9166061
0.5 7 7 0.8771303 0.6760672 0.9162492
Tuning parameter 'gamma' was held constant at a value of 1
Tuning
parameter 'min_child_weight' was held constant at a value of 1
Tuning parameter
'subsample' was held constant at a value of 1
ROC was used to select the optimal model using the largest value.
The final values used for the model were nrounds = 5, max_depth = 4, eta = 0.5, gamma =
1, colsample_bytree = 1, min_child_weight = 1 and subsample = 1.
plot(xgbsmoteFit)xgb.importance(feature_names = colnames(Dtrain),model = xgbsmoteFit$finalModel)xgb.importance(feature_names = colnames(Dtrain),model = xgbsmoteFit$finalModel) %>%
xgb.ggplot.importance()densityplot(xgbsmoteFit,pch='|')predict(xgbsmoteFit,type = 'raw') -> train.Class
predict(xgbsmoteFit,type = 'prob') -> train.Probs
histogram(~Survived+Dead,train.Probs)ctrl <- trainControl(method = "repeatedcv",
repeats = 5,
verboseIter = T,
classProbs = TRUE,
summaryFunction = twoClassSummary,
sampling = 'down'
)
xgbGrid <- expand.grid(
nrounds=c(2,3,4,5,6,7),
max_depth=c(2,3,4,5,6,7),
eta=c(0.3,0.5),
gamma=1,
colsample_bytree=1,
min_child_weight=1,
subsample=1
)
dumV <- dummyVars(formula = Survived~.,data = train.imp)
Dtrain <- predict(dumV,train.imp)variable 'Survived' is not a factor
set.seed(1)
xgbdownFit <- train(
x=Dtrain,
y=train.imp$Survived,
method = 'xgbTree',
trControl = ctrl,
# metric = "Kappa",
tuneGrid = xgbGrid,
verbose = TRUE
)The metric "Accuracy" was not in the result set. ROC will be used instead.
+ Fold01.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold01.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold01.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold02.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold02.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold03.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold03.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold04.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold04.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold05.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold05.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold06.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold06.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold07.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold07.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold08.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold08.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold09.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold09.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
+ Fold10.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
- Fold10.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7
Aggregating results
Selecting tuning parameters
Fitting nrounds = 6, max_depth = 5, eta = 0.3, gamma = 1, colsample_bytree = 1, min_child_weight = 1, subsample = 1 on full training set
save(xgbdownFit,file = 'xgbdownFit')
xgbdownFiteXtreme Gradient Boosting
891 samples
54 predictor
2 classes: 'Survived', 'Dead'
No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times)
Summary of sample sizes: 803, 802, 802, 802, 802, 802, ...
Addtional sampling using down-sampling
Resampling results across tuning parameters:
eta max_depth nrounds ROC Sens Spec
0.3 2 2 0.8569065 0.7830756 0.8181953
0.3 2 3 0.8646085 0.7929580 0.8189158
0.3 2 4 0.8656532 0.7777311 0.8287946
0.3 2 5 0.8675271 0.7737479 0.8342626
0.3 2 6 0.8677067 0.7743025 0.8375152
0.3 2 7 0.8689836 0.7866050 0.8265993
0.3 3 2 0.8670338 0.7958655 0.8102492
0.3 3 3 0.8740388 0.7952941 0.8218788
0.3 3 4 0.8763388 0.7929412 0.8321145
0.3 3 5 0.8755633 0.7947395 0.8350034
0.3 3 6 0.8769102 0.7947227 0.8371785
0.3 3 7 0.8763294 0.7958824 0.8360943
0.3 4 2 0.8683005 0.8052437 0.8097980
0.3 4 3 0.8748413 0.7946555 0.8243973
0.3 4 4 0.8763631 0.7987899 0.8280337
0.3 4 5 0.8767028 0.7999160 0.8302155
0.3 4 6 0.8758138 0.7993445 0.8353266
0.3 4 7 0.8758979 0.8004874 0.8397104
0.3 5 2 0.8687592 0.8105546 0.8083569
0.3 5 3 0.8729325 0.8041513 0.8178047
0.3 5 4 0.8744897 0.8052269 0.8247407
0.3 5 5 0.8791556 0.8011933 0.8283704
0.3 5 6 0.8797048 0.7977311 0.8298384
0.3 5 7 0.8791130 0.7948235 0.8342357
0.3 6 2 0.8648790 0.7982353 0.8054411
0.3 6 3 0.8708474 0.7930420 0.8175017
0.3 6 4 0.8731321 0.7947899 0.8200539
0.3 6 5 0.8755724 0.7907227 0.8306128
0.3 6 6 0.8760367 0.7877647 0.8338923
0.3 6 7 0.8777414 0.7872437 0.8360741
0.3 7 2 0.8668483 0.7883361 0.8138316
0.3 7 3 0.8714196 0.7860168 0.8181886
0.3 7 4 0.8713751 0.7889244 0.8218114
0.3 7 5 0.8738966 0.7901345 0.8302020
0.3 7 6 0.8760554 0.7860168 0.8313199
0.3 7 7 0.8765147 0.7913109 0.8331178
0.5 2 2 0.8614709 0.7971092 0.8069428
0.5 2 3 0.8650012 0.7908235 0.8171178
0.5 2 4 0.8665358 0.7895126 0.8182492
0.5 2 5 0.8666689 0.7913445 0.8186128
0.5 2 6 0.8690229 0.8000000 0.8156970
0.5 2 7 0.8699018 0.8017311 0.8182559
0.5 3 2 0.8719041 0.7843529 0.8284512
0.5 3 3 0.8747690 0.7871765 0.8309966
0.5 3 4 0.8733292 0.7830924 0.8357374
0.5 3 5 0.8719538 0.7936134 0.8309966
0.5 3 6 0.8718860 0.7977143 0.8233468
0.5 3 7 0.8711722 0.8000336 0.8273401
0.5 4 2 0.8723916 0.7937143 0.8273333
0.5 4 3 0.8754068 0.7889580 0.8295421
0.5 4 4 0.8731685 0.7889916 0.8368013
0.5 4 5 0.8749604 0.7901345 0.8331987
0.5 4 6 0.8747732 0.7866723 0.8353603
0.5 4 7 0.8760036 0.7866555 0.8379125
0.5 5 2 0.8721453 0.7948235 0.8292189
0.5 5 3 0.8755147 0.7971429 0.8247407
0.5 5 4 0.8755619 0.7942185 0.8328215
0.5 5 5 0.8765030 0.7930420 0.8324512
0.5 5 6 0.8766277 0.7982857 0.8375219
0.5 5 7 0.8772076 0.7942353 0.8415488
0.5 6 2 0.8699694 0.7959496 0.8203906
0.5 6 3 0.8747820 0.7913109 0.8313535
0.5 6 4 0.8769541 0.7866387 0.8419461
0.5 6 5 0.8766016 0.7884034 0.8404983
0.5 6 6 0.8766812 0.7895462 0.8415758
0.5 6 7 0.8771913 0.7913445 0.8364916
0.5 7 2 0.8695596 0.8042521 0.8156835
0.5 7 3 0.8734176 0.8012773 0.8229562
0.5 7 4 0.8777733 0.7982857 0.8265859
0.5 7 5 0.8765978 0.8006218 0.8342626
0.5 7 6 0.8771858 0.7924202 0.8320741
0.5 7 7 0.8775482 0.7936134 0.8317037
Tuning parameter 'gamma' was held constant at a value of 1
Tuning
parameter 'min_child_weight' was held constant at a value of 1
Tuning parameter
'subsample' was held constant at a value of 1
ROC was used to select the optimal model using the largest value.
The final values used for the model were nrounds = 6, max_depth = 5, eta = 0.3, gamma =
1, colsample_bytree = 1, min_child_weight = 1 and subsample = 1.
plot(xgbdownFit)xgb.importance(feature_names = colnames(Dtrain),model = xgbdownFit$finalModel)xgb.importance(feature_names = colnames(Dtrain),model = xgbdownFit$finalModel) %>%
xgb.ggplot.importance()densityplot(xgbdownFit,pch='|')predict(xgbdownFit,type = 'raw') -> train.Class
predict(xgbdownFit,type = 'prob') -> train.Probs
histogram(~Survived+Dead,train.Probs)ctrl <- trainControl(method = "repeatedcv",
repeats = 5,
verboseIter = T,
classProbs = TRUE,
summaryFunction = twoClassSummary,
adaptive = list(min = 5, alpha = 0.05,
method = "gls", complete = TRUE),
search = 'random'
)
gbmGrid <- expand.grid(
n.trees=c(500,700,900,1100),
interaction.depth=c(1,2,3),
shrinkage=c(0.1,0.01),
n.minobsinnode=10
)
dumV <- dummyVars(formula = Survived~.,data = train.imp)
Dtrain <- predict(dumV,train.imp)variable 'Survived' is not a factor
set.seed(1)
boostFit <- train(
x = Dtrain,
y = train.imp$Survived,
trControl=ctrl,
method='gbm',
tuneGrid=gbmGrid
)Loading required package: gbm
Loading required package: survival
Attaching package: ‘survival’
The following object is masked from ‘package:caret’:
cluster
Loading required package: splines
Loading required package: parallel
Loaded gbm 2.1.3
The metric "Accuracy" was not in the result set. ROC will be used instead.
+ Fold01.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3258 nan 0.0100 0.0027
2 1.3203 nan 0.0100 0.0028
3 1.3146 nan 0.0100 0.0027
4 1.3093 nan 0.0100 0.0026
5 1.3040 nan 0.0100 0.0026
6 1.2991 nan 0.0100 0.0025
7 1.2941 nan 0.0100 0.0025
8 1.2886 nan 0.0100 0.0023
9 1.2832 nan 0.0100 0.0024
10 1.2782 nan 0.0100 0.0023
20 1.2360 nan 0.0100 0.0019
40 1.1740 nan 0.0100 0.0013
60 1.1258 nan 0.0100 0.0009
80 1.0870 nan 0.0100 0.0008
100 1.0570 nan 0.0100 0.0006
120 1.0323 nan 0.0100 0.0005
140 1.0111 nan 0.0100 0.0003
160 0.9930 nan 0.0100 0.0003
180 0.9771 nan 0.0100 0.0003
200 0.9629 nan 0.0100 0.0002
220 0.9512 nan 0.0100 0.0002
240 0.9406 nan 0.0100 0.0002
260 0.9320 nan 0.0100 0.0001
280 0.9233 nan 0.0100 0.0001
300 0.9152 nan 0.0100 0.0001
320 0.9081 nan 0.0100 -0.0000
340 0.9021 nan 0.0100 0.0000
360 0.8960 nan 0.0100 0.0001
380 0.8905 nan 0.0100 -0.0001
400 0.8855 nan 0.0100 0.0000
420 0.8807 nan 0.0100 -0.0000
440 0.8762 nan 0.0100 0.0001
460 0.8720 nan 0.0100 0.0001
480 0.8681 nan 0.0100 0.0000
500 0.8640 nan 0.0100 -0.0000
520 0.8604 nan 0.0100 0.0000
540 0.8573 nan 0.0100 -0.0000
560 0.8538 nan 0.0100 -0.0000
580 0.8503 nan 0.0100 0.0000
600 0.8473 nan 0.0100 0.0000
620 0.8445 nan 0.0100 0.0001
640 0.8417 nan 0.0100 0.0000
660 0.8394 nan 0.0100 -0.0000
680 0.8368 nan 0.0100 0.0000
700 0.8344 nan 0.0100 0.0000
720 0.8319 nan 0.0100 -0.0000
740 0.8298 nan 0.0100 -0.0001
760 0.8276 nan 0.0100 0.0000
780 0.8254 nan 0.0100 0.0000
800 0.8231 nan 0.0100 -0.0000
820 0.8208 nan 0.0100 -0.0000
840 0.8188 nan 0.0100 -0.0000
860 0.8167 nan 0.0100 -0.0000
880 0.8150 nan 0.0100 0.0000
900 0.8133 nan 0.0100 -0.0001
920 0.8117 nan 0.0100 -0.0000
940 0.8100 nan 0.0100 -0.0000
960 0.8080 nan 0.0100 -0.0000
980 0.8062 nan 0.0100 -0.0000
1000 0.8046 nan 0.0100 -0.0000
1020 0.8029 nan 0.0100 -0.0000
1040 0.8013 nan 0.0100 -0.0000
1060 0.7998 nan 0.0100 -0.0000
1080 0.7983 nan 0.0100 -0.0000
1100 0.7970 nan 0.0100 -0.0001
- Fold01.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3239 nan 0.0100 0.0036
2 1.3168 nan 0.0100 0.0034
3 1.3098 nan 0.0100 0.0034
4 1.3029 nan 0.0100 0.0036
5 1.2960 nan 0.0100 0.0031
6 1.2897 nan 0.0100 0.0031
7 1.2831 nan 0.0100 0.0031
8 1.2770 nan 0.0100 0.0031
9 1.2708 nan 0.0100 0.0031
10 1.2648 nan 0.0100 0.0031
20 1.2101 nan 0.0100 0.0023
40 1.1251 nan 0.0100 0.0018
60 1.0614 nan 0.0100 0.0013
80 1.0137 nan 0.0100 0.0006
100 0.9779 nan 0.0100 0.0007
120 0.9489 nan 0.0100 0.0004
140 0.9251 nan 0.0100 0.0004
160 0.9062 nan 0.0100 0.0002
180 0.8906 nan 0.0100 0.0002
200 0.8769 nan 0.0100 0.0003
220 0.8657 nan 0.0100 0.0002
240 0.8566 nan 0.0100 -0.0000
260 0.8474 nan 0.0100 0.0002
280 0.8396 nan 0.0100 0.0001
300 0.8314 nan 0.0100 0.0000
320 0.8247 nan 0.0100 -0.0000
340 0.8180 nan 0.0100 0.0001
360 0.8119 nan 0.0100 -0.0003
380 0.8064 nan 0.0100 -0.0000
400 0.8010 nan 0.0100 0.0001
420 0.7961 nan 0.0100 -0.0001
440 0.7915 nan 0.0100 -0.0001
460 0.7875 nan 0.0100 -0.0000
480 0.7837 nan 0.0100 -0.0001
500 0.7798 nan 0.0100 -0.0000
520 0.7761 nan 0.0100 -0.0001
540 0.7727 nan 0.0100 -0.0001
560 0.7692 nan 0.0100 -0.0000
580 0.7659 nan 0.0100 -0.0000
600 0.7627 nan 0.0100 -0.0001
620 0.7593 nan 0.0100 -0.0000
640 0.7559 nan 0.0100 -0.0001
660 0.7530 nan 0.0100 -0.0002
680 0.7503 nan 0.0100 -0.0001
700 0.7476 nan 0.0100 -0.0001
720 0.7450 nan 0.0100 -0.0000
740 0.7424 nan 0.0100 -0.0002
760 0.7400 nan 0.0100 0.0000
780 0.7368 nan 0.0100 -0.0001
800 0.7345 nan 0.0100 -0.0002
820 0.7322 nan 0.0100 -0.0000
840 0.7300 nan 0.0100 -0.0001
860 0.7277 nan 0.0100 0.0000
880 0.7255 nan 0.0100 -0.0000
900 0.7232 nan 0.0100 -0.0001
920 0.7213 nan 0.0100 -0.0001
940 0.7189 nan 0.0100 -0.0000
960 0.7167 nan 0.0100 -0.0001
980 0.7147 nan 0.0100 -0.0000
1000 0.7127 nan 0.0100 -0.0000
1020 0.7106 nan 0.0100 -0.0001
1040 0.7087 nan 0.0100 -0.0001
1060 0.7070 nan 0.0100 -0.0001
1080 0.7050 nan 0.0100 -0.0001
1100 0.7031 nan 0.0100 -0.0000
- Fold01.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3231 nan 0.0100 0.0040
2 1.3150 nan 0.0100 0.0039
3 1.3068 nan 0.0100 0.0038
4 1.2990 nan 0.0100 0.0037
5 1.2914 nan 0.0100 0.0035
6 1.2843 nan 0.0100 0.0038
7 1.2771 nan 0.0100 0.0034
8 1.2696 nan 0.0100 0.0037
9 1.2627 nan 0.0100 0.0032
10 1.2558 nan 0.0100 0.0032
20 1.1946 nan 0.0100 0.0027
40 1.0991 nan 0.0100 0.0021
60 1.0307 nan 0.0100 0.0012
80 0.9801 nan 0.0100 0.0009
100 0.9404 nan 0.0100 0.0006
120 0.9112 nan 0.0100 0.0006
140 0.8873 nan 0.0100 0.0004
160 0.8683 nan 0.0100 0.0002
180 0.8515 nan 0.0100 0.0003
200 0.8370 nan 0.0100 0.0003
220 0.8242 nan 0.0100 -0.0000
240 0.8136 nan 0.0100 -0.0001
260 0.8038 nan 0.0100 -0.0000
280 0.7951 nan 0.0100 0.0001
300 0.7873 nan 0.0100 -0.0000
320 0.7799 nan 0.0100 0.0000
340 0.7737 nan 0.0100 -0.0000
360 0.7681 nan 0.0100 -0.0000
380 0.7620 nan 0.0100 -0.0001
400 0.7561 nan 0.0100 -0.0000
420 0.7511 nan 0.0100 0.0001
440 0.7462 nan 0.0100 -0.0001
460 0.7416 nan 0.0100 -0.0001
480 0.7367 nan 0.0100 0.0000
500 0.7320 nan 0.0100 -0.0001
520 0.7275 nan 0.0100 -0.0001
540 0.7234 nan 0.0100 0.0000
560 0.7194 nan 0.0100 -0.0001
580 0.7153 nan 0.0100 -0.0001
600 0.7114 nan 0.0100 -0.0000
620 0.7077 nan 0.0100 -0.0001
640 0.7042 nan 0.0100 -0.0001
660 0.7008 nan 0.0100 -0.0001
680 0.6974 nan 0.0100 -0.0000
700 0.6940 nan 0.0100 -0.0001
720 0.6907 nan 0.0100 -0.0000
740 0.6872 nan 0.0100 -0.0001
760 0.6835 nan 0.0100 -0.0001
780 0.6806 nan 0.0100 -0.0001
800 0.6778 nan 0.0100 -0.0001
820 0.6749 nan 0.0100 -0.0002
840 0.6725 nan 0.0100 -0.0001
860 0.6697 nan 0.0100 -0.0001
880 0.6674 nan 0.0100 -0.0001
900 0.6650 nan 0.0100 -0.0001
920 0.6621 nan 0.0100 -0.0001
940 0.6596 nan 0.0100 -0.0001
960 0.6570 nan 0.0100 -0.0000
980 0.6546 nan 0.0100 -0.0002
1000 0.6521 nan 0.0100 -0.0001
1020 0.6500 nan 0.0100 -0.0001
1040 0.6474 nan 0.0100 0.0000
1060 0.6451 nan 0.0100 -0.0002
1080 0.6424 nan 0.0100 -0.0000
1100 0.6401 nan 0.0100 -0.0002
- Fold01.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2729 nan 0.1000 0.0270
2 1.2315 nan 0.1000 0.0211
3 1.1980 nan 0.1000 0.0170
4 1.1673 nan 0.1000 0.0150
5 1.1433 nan 0.1000 0.0091
6 1.1200 nan 0.1000 0.0113
7 1.1017 nan 0.1000 0.0103
8 1.0840 nan 0.1000 0.0084
9 1.0682 nan 0.1000 0.0067
10 1.0527 nan 0.1000 0.0067
20 0.9580 nan 0.1000 0.0022
40 0.8813 nan 0.1000 -0.0003
60 0.8428 nan 0.1000 -0.0000
80 0.8188 nan 0.1000 0.0002
100 0.8021 nan 0.1000 -0.0003
120 0.7900 nan 0.1000 -0.0007
140 0.7781 nan 0.1000 -0.0006
160 0.7684 nan 0.1000 -0.0007
180 0.7629 nan 0.1000 -0.0004
200 0.7555 nan 0.1000 -0.0006
220 0.7496 nan 0.1000 -0.0011
240 0.7434 nan 0.1000 -0.0014
260 0.7355 nan 0.1000 0.0001
280 0.7311 nan 0.1000 -0.0004
300 0.7265 nan 0.1000 -0.0004
320 0.7236 nan 0.1000 -0.0011
340 0.7222 nan 0.1000 -0.0004
360 0.7178 nan 0.1000 -0.0006
380 0.7138 nan 0.1000 -0.0011
400 0.7098 nan 0.1000 -0.0006
420 0.7062 nan 0.1000 -0.0008
440 0.7034 nan 0.1000 -0.0011
460 0.7012 nan 0.1000 -0.0010
480 0.6986 nan 0.1000 -0.0011
500 0.6960 nan 0.1000 -0.0008
520 0.6937 nan 0.1000 -0.0008
540 0.6907 nan 0.1000 -0.0004
560 0.6881 nan 0.1000 -0.0007
580 0.6869 nan 0.1000 -0.0012
600 0.6844 nan 0.1000 -0.0006
620 0.6825 nan 0.1000 -0.0008
640 0.6806 nan 0.1000 -0.0010
660 0.6791 nan 0.1000 -0.0009
680 0.6760 nan 0.1000 -0.0008
700 0.6736 nan 0.1000 -0.0003
720 0.6711 nan 0.1000 -0.0007
740 0.6712 nan 0.1000 -0.0012
760 0.6682 nan 0.1000 -0.0012
780 0.6660 nan 0.1000 -0.0006
800 0.6645 nan 0.1000 -0.0012
820 0.6628 nan 0.1000 -0.0008
840 0.6606 nan 0.1000 -0.0004
860 0.6581 nan 0.1000 -0.0004
880 0.6563 nan 0.1000 -0.0006
900 0.6546 nan 0.1000 -0.0008
920 0.6535 nan 0.1000 -0.0008
940 0.6525 nan 0.1000 -0.0005
960 0.6509 nan 0.1000 -0.0014
980 0.6496 nan 0.1000 -0.0007
1000 0.6478 nan 0.1000 -0.0007
1020 0.6452 nan 0.1000 -0.0004
1040 0.6443 nan 0.1000 -0.0008
1060 0.6432 nan 0.1000 -0.0009
1080 0.6416 nan 0.1000 -0.0002
1100 0.6407 nan 0.1000 -0.0014
- Fold01.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2634 nan 0.1000 0.0317
2 1.2062 nan 0.1000 0.0286
3 1.1578 nan 0.1000 0.0246
4 1.1170 nan 0.1000 0.0192
5 1.0853 nan 0.1000 0.0165
6 1.0566 nan 0.1000 0.0137
7 1.0313 nan 0.1000 0.0103
8 1.0089 nan 0.1000 0.0113
9 0.9901 nan 0.1000 0.0080
10 0.9713 nan 0.1000 0.0079
20 0.8769 nan 0.1000 0.0019
40 0.8037 nan 0.1000 -0.0002
60 0.7641 nan 0.1000 -0.0015
80 0.7370 nan 0.1000 -0.0003
100 0.7173 nan 0.1000 -0.0027
120 0.6938 nan 0.1000 -0.0005
140 0.6796 nan 0.1000 -0.0005
160 0.6678 nan 0.1000 -0.0014
180 0.6548 nan 0.1000 -0.0005
200 0.6439 nan 0.1000 -0.0012
220 0.6297 nan 0.1000 -0.0021
240 0.6151 nan 0.1000 -0.0003
260 0.6029 nan 0.1000 -0.0010
280 0.5907 nan 0.1000 -0.0011
300 0.5792 nan 0.1000 -0.0004
320 0.5717 nan 0.1000 -0.0002
340 0.5633 nan 0.1000 -0.0006
360 0.5576 nan 0.1000 -0.0013
380 0.5497 nan 0.1000 -0.0018
400 0.5447 nan 0.1000 -0.0003
420 0.5360 nan 0.1000 -0.0002
440 0.5284 nan 0.1000 -0.0019
460 0.5230 nan 0.1000 -0.0017
480 0.5171 nan 0.1000 -0.0019
500 0.5114 nan 0.1000 -0.0011
520 0.5058 nan 0.1000 -0.0017
540 0.5010 nan 0.1000 -0.0011
560 0.4951 nan 0.1000 -0.0005
580 0.4910 nan 0.1000 -0.0010
600 0.4840 nan 0.1000 -0.0009
620 0.4801 nan 0.1000 -0.0006
640 0.4757 nan 0.1000 -0.0012
660 0.4715 nan 0.1000 -0.0016
680 0.4657 nan 0.1000 -0.0007
700 0.4621 nan 0.1000 -0.0004
720 0.4570 nan 0.1000 -0.0005
740 0.4533 nan 0.1000 -0.0010
760 0.4507 nan 0.1000 -0.0005
780 0.4456 nan 0.1000 -0.0007
800 0.4423 nan 0.1000 -0.0004
820 0.4385 nan 0.1000 -0.0013
840 0.4330 nan 0.1000 -0.0004
860 0.4299 nan 0.1000 -0.0006
880 0.4257 nan 0.1000 -0.0005
900 0.4219 nan 0.1000 -0.0010
920 0.4188 nan 0.1000 -0.0009
940 0.4158 nan 0.1000 -0.0011
960 0.4124 nan 0.1000 -0.0010
980 0.4098 nan 0.1000 -0.0008
1000 0.4071 nan 0.1000 -0.0011
1020 0.4037 nan 0.1000 -0.0011
1040 0.3998 nan 0.1000 -0.0008
1060 0.3967 nan 0.1000 -0.0007
1080 0.3942 nan 0.1000 -0.0009
1100 0.3926 nan 0.1000 -0.0009
- Fold01.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2563 nan 0.1000 0.0358
2 1.1929 nan 0.1000 0.0300
3 1.1428 nan 0.1000 0.0246
4 1.0966 nan 0.1000 0.0214
5 1.0585 nan 0.1000 0.0194
6 1.0238 nan 0.1000 0.0166
7 0.9955 nan 0.1000 0.0122
8 0.9733 nan 0.1000 0.0093
9 0.9515 nan 0.1000 0.0100
10 0.9377 nan 0.1000 0.0034
20 0.8426 nan 0.1000 0.0019
40 0.7643 nan 0.1000 0.0000
60 0.7226 nan 0.1000 -0.0020
80 0.6879 nan 0.1000 -0.0011
100 0.6597 nan 0.1000 -0.0005
120 0.6371 nan 0.1000 -0.0013
140 0.6158 nan 0.1000 -0.0007
160 0.5973 nan 0.1000 -0.0006
180 0.5825 nan 0.1000 -0.0005
200 0.5651 nan 0.1000 -0.0009
220 0.5491 nan 0.1000 -0.0003
240 0.5345 nan 0.1000 -0.0020
260 0.5216 nan 0.1000 -0.0015
280 0.5082 nan 0.1000 -0.0019
300 0.4958 nan 0.1000 -0.0002
320 0.4860 nan 0.1000 -0.0011
340 0.4759 nan 0.1000 -0.0003
360 0.4662 nan 0.1000 -0.0010
380 0.4533 nan 0.1000 -0.0017
400 0.4413 nan 0.1000 -0.0008
420 0.4359 nan 0.1000 -0.0013
440 0.4281 nan 0.1000 -0.0009
460 0.4201 nan 0.1000 -0.0006
480 0.4117 nan 0.1000 -0.0013
500 0.4056 nan 0.1000 -0.0012
520 0.3988 nan 0.1000 -0.0012
540 0.3915 nan 0.1000 -0.0006
560 0.3842 nan 0.1000 -0.0011
580 0.3766 nan 0.1000 -0.0012
600 0.3690 nan 0.1000 -0.0008
620 0.3622 nan 0.1000 -0.0011
640 0.3567 nan 0.1000 -0.0005
660 0.3519 nan 0.1000 -0.0011
680 0.3459 nan 0.1000 -0.0006
700 0.3404 nan 0.1000 -0.0007
720 0.3355 nan 0.1000 -0.0003
740 0.3311 nan 0.1000 -0.0017
760 0.3286 nan 0.1000 -0.0008
780 0.3253 nan 0.1000 -0.0011
800 0.3189 nan 0.1000 -0.0008
820 0.3146 nan 0.1000 -0.0006
840 0.3103 nan 0.1000 -0.0006
860 0.3055 nan 0.1000 -0.0002
880 0.3023 nan 0.1000 -0.0011
900 0.2986 nan 0.1000 -0.0007
920 0.2954 nan 0.1000 -0.0008
940 0.2920 nan 0.1000 -0.0007
960 0.2874 nan 0.1000 -0.0010
980 0.2846 nan 0.1000 -0.0015
1000 0.2808 nan 0.1000 -0.0016
1020 0.2785 nan 0.1000 -0.0007
1040 0.2754 nan 0.1000 -0.0007
1060 0.2721 nan 0.1000 -0.0002
1080 0.2699 nan 0.1000 -0.0002
1100 0.2663 nan 0.1000 -0.0009
- Fold01.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3268 nan 0.0100 0.0029
2 1.3211 nan 0.0100 0.0028
3 1.3153 nan 0.0100 0.0027
4 1.3100 nan 0.0100 0.0027
5 1.3045 nan 0.0100 0.0027
6 1.2989 nan 0.0100 0.0025
7 1.2932 nan 0.0100 0.0025
8 1.2885 nan 0.0100 0.0025
9 1.2836 nan 0.0100 0.0025
10 1.2785 nan 0.0100 0.0024
20 1.2341 nan 0.0100 0.0019
40 1.1666 nan 0.0100 0.0013
60 1.1206 nan 0.0100 0.0010
80 1.0849 nan 0.0100 0.0007
100 1.0570 nan 0.0100 0.0006
120 1.0344 nan 0.0100 0.0005
140 1.0148 nan 0.0100 0.0004
160 0.9973 nan 0.0100 0.0003
180 0.9824 nan 0.0100 0.0002
200 0.9695 nan 0.0100 0.0002
220 0.9575 nan 0.0100 0.0002
240 0.9475 nan 0.0100 0.0002
260 0.9385 nan 0.0100 0.0001
280 0.9300 nan 0.0100 0.0000
300 0.9225 nan 0.0100 0.0001
320 0.9153 nan 0.0100 0.0001
340 0.9087 nan 0.0100 0.0001
360 0.9026 nan 0.0100 -0.0000
380 0.8968 nan 0.0100 0.0000
400 0.8915 nan 0.0100 0.0000
420 0.8865 nan 0.0100 0.0000
440 0.8821 nan 0.0100 -0.0000
460 0.8776 nan 0.0100 0.0001
480 0.8736 nan 0.0100 0.0000
500 0.8697 nan 0.0100 -0.0000
520 0.8658 nan 0.0100 0.0000
540 0.8624 nan 0.0100 -0.0001
560 0.8590 nan 0.0100 0.0000
580 0.8556 nan 0.0100 -0.0000
600 0.8525 nan 0.0100 0.0000
620 0.8491 nan 0.0100 -0.0000
640 0.8462 nan 0.0100 -0.0001
660 0.8436 nan 0.0100 -0.0001
680 0.8408 nan 0.0100 -0.0000
700 0.8382 nan 0.0100 -0.0000
720 0.8355 nan 0.0100 -0.0001
740 0.8332 nan 0.0100 0.0000
760 0.8307 nan 0.0100 0.0000
780 0.8283 nan 0.0100 -0.0000
800 0.8263 nan 0.0100 0.0000
820 0.8241 nan 0.0100 0.0000
840 0.8224 nan 0.0100 -0.0000
860 0.8205 nan 0.0100 -0.0000
880 0.8190 nan 0.0100 -0.0000
900 0.8172 nan 0.0100 -0.0000
920 0.8157 nan 0.0100 -0.0001
940 0.8138 nan 0.0100 0.0000
960 0.8123 nan 0.0100 -0.0000
980 0.8107 nan 0.0100 -0.0001
1000 0.8093 nan 0.0100 -0.0001
1020 0.8076 nan 0.0100 -0.0000
1040 0.8063 nan 0.0100 -0.0001
1060 0.8047 nan 0.0100 -0.0000
1080 0.8033 nan 0.0100 -0.0001
1100 0.8018 nan 0.0100 -0.0001
- Fold02.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3251 nan 0.0100 0.0035
2 1.3180 nan 0.0100 0.0034
3 1.3110 nan 0.0100 0.0032
4 1.3045 nan 0.0100 0.0032
5 1.2981 nan 0.0100 0.0030
6 1.2913 nan 0.0100 0.0032
7 1.2851 nan 0.0100 0.0032
8 1.2788 nan 0.0100 0.0030
9 1.2726 nan 0.0100 0.0028
10 1.2665 nan 0.0100 0.0030
20 1.2126 nan 0.0100 0.0025
40 1.1267 nan 0.0100 0.0018
60 1.0653 nan 0.0100 0.0012
80 1.0181 nan 0.0100 0.0010
100 0.9833 nan 0.0100 0.0007
120 0.9552 nan 0.0100 0.0006
140 0.9326 nan 0.0100 0.0002
160 0.9146 nan 0.0100 0.0002
180 0.9000 nan 0.0100 0.0001
200 0.8868 nan 0.0100 0.0001
220 0.8745 nan 0.0100 0.0001
240 0.8644 nan 0.0100 0.0000
260 0.8548 nan 0.0100 0.0001
280 0.8466 nan 0.0100 0.0001
300 0.8378 nan 0.0100 0.0001
320 0.8305 nan 0.0100 0.0000
340 0.8234 nan 0.0100 0.0002
360 0.8171 nan 0.0100 -0.0000
380 0.8119 nan 0.0100 0.0001
400 0.8062 nan 0.0100 0.0001
420 0.8015 nan 0.0100 -0.0000
440 0.7969 nan 0.0100 0.0000
460 0.7912 nan 0.0100 -0.0000
480 0.7868 nan 0.0100 -0.0001
500 0.7828 nan 0.0100 -0.0001
520 0.7792 nan 0.0100 -0.0000
540 0.7755 nan 0.0100 -0.0000
560 0.7723 nan 0.0100 -0.0001
580 0.7685 nan 0.0100 0.0000
600 0.7649 nan 0.0100 -0.0000
620 0.7620 nan 0.0100 -0.0000
640 0.7588 nan 0.0100 0.0000
660 0.7560 nan 0.0100 -0.0002
680 0.7530 nan 0.0100 -0.0001
700 0.7505 nan 0.0100 -0.0001
720 0.7476 nan 0.0100 -0.0000
740 0.7449 nan 0.0100 -0.0001
760 0.7422 nan 0.0100 0.0000
780 0.7400 nan 0.0100 -0.0001
800 0.7373 nan 0.0100 -0.0001
820 0.7349 nan 0.0100 -0.0000
840 0.7327 nan 0.0100 -0.0001
860 0.7305 nan 0.0100 -0.0000
880 0.7284 nan 0.0100 -0.0001
900 0.7262 nan 0.0100 -0.0001
920 0.7243 nan 0.0100 -0.0001
940 0.7223 nan 0.0100 -0.0001
960 0.7202 nan 0.0100 -0.0001
980 0.7179 nan 0.0100 -0.0002
1000 0.7159 nan 0.0100 -0.0001
1020 0.7141 nan 0.0100 -0.0001
1040 0.7121 nan 0.0100 -0.0001
1060 0.7103 nan 0.0100 -0.0001
1080 0.7085 nan 0.0100 -0.0001
1100 0.7065 nan 0.0100 -0.0002
- Fold02.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3241 nan 0.0100 0.0039
2 1.3167 nan 0.0100 0.0041
3 1.3088 nan 0.0100 0.0035
4 1.3015 nan 0.0100 0.0037
5 1.2941 nan 0.0100 0.0034
6 1.2866 nan 0.0100 0.0036
7 1.2794 nan 0.0100 0.0032
8 1.2728 nan 0.0100 0.0034
9 1.2659 nan 0.0100 0.0033
10 1.2598 nan 0.0100 0.0031
20 1.2007 nan 0.0100 0.0024
40 1.1070 nan 0.0100 0.0019
60 1.0396 nan 0.0100 0.0014
80 0.9876 nan 0.0100 0.0011
100 0.9472 nan 0.0100 0.0007
120 0.9173 nan 0.0100 0.0005
140 0.8943 nan 0.0100 0.0003
160 0.8753 nan 0.0100 0.0002
180 0.8577 nan 0.0100 0.0002
200 0.8429 nan 0.0100 0.0003
220 0.8304 nan 0.0100 0.0001
240 0.8189 nan 0.0100 0.0000
260 0.8091 nan 0.0100 0.0001
280 0.8004 nan 0.0100 -0.0000
300 0.7932 nan 0.0100 0.0000
320 0.7858 nan 0.0100 0.0001
340 0.7782 nan 0.0100 -0.0000
360 0.7715 nan 0.0100 -0.0001
380 0.7649 nan 0.0100 -0.0001
400 0.7588 nan 0.0100 -0.0002
420 0.7537 nan 0.0100 -0.0001
440 0.7489 nan 0.0100 -0.0001
460 0.7438 nan 0.0100 -0.0000
480 0.7392 nan 0.0100 -0.0001
500 0.7352 nan 0.0100 -0.0001
520 0.7304 nan 0.0100 -0.0001
540 0.7261 nan 0.0100 -0.0001
560 0.7222 nan 0.0100 -0.0000
580 0.7185 nan 0.0100 -0.0000
600 0.7149 nan 0.0100 -0.0000
620 0.7110 nan 0.0100 -0.0001
640 0.7073 nan 0.0100 0.0001
660 0.7038 nan 0.0100 -0.0001
680 0.7006 nan 0.0100 -0.0001
700 0.6972 nan 0.0100 -0.0001
720 0.6939 nan 0.0100 0.0000
740 0.6906 nan 0.0100 -0.0001
760 0.6872 nan 0.0100 0.0001
780 0.6840 nan 0.0100 -0.0000
800 0.6814 nan 0.0100 -0.0001
820 0.6788 nan 0.0100 -0.0002
840 0.6759 nan 0.0100 -0.0001
860 0.6727 nan 0.0100 -0.0001
880 0.6700 nan 0.0100 -0.0001
900 0.6668 nan 0.0100 -0.0001
920 0.6641 nan 0.0100 -0.0002
940 0.6614 nan 0.0100 -0.0001
960 0.6591 nan 0.0100 -0.0002
980 0.6562 nan 0.0100 -0.0001
1000 0.6534 nan 0.0100 -0.0001
1020 0.6507 nan 0.0100 -0.0001
1040 0.6481 nan 0.0100 0.0000
1060 0.6452 nan 0.0100 -0.0001
1080 0.6424 nan 0.0100 -0.0001
1100 0.6400 nan 0.0100 -0.0000
- Fold02.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2806 nan 0.1000 0.0278
2 1.2270 nan 0.1000 0.0221
3 1.1911 nan 0.1000 0.0173
4 1.1624 nan 0.1000 0.0151
5 1.1382 nan 0.1000 0.0124
6 1.1151 nan 0.1000 0.0105
7 1.0999 nan 0.1000 0.0073
8 1.0833 nan 0.1000 0.0082
9 1.0689 nan 0.1000 0.0061
10 1.0540 nan 0.1000 0.0062
20 0.9681 nan 0.1000 0.0025
40 0.8877 nan 0.1000 -0.0005
60 0.8482 nan 0.1000 -0.0001
80 0.8275 nan 0.1000 -0.0018
100 0.8095 nan 0.1000 -0.0008
120 0.7970 nan 0.1000 -0.0006
140 0.7862 nan 0.1000 0.0000
160 0.7779 nan 0.1000 -0.0006
180 0.7693 nan 0.1000 -0.0005
200 0.7629 nan 0.1000 -0.0008
220 0.7578 nan 0.1000 -0.0014
240 0.7529 nan 0.1000 -0.0007
260 0.7474 nan 0.1000 -0.0002
280 0.7423 nan 0.1000 -0.0004
300 0.7370 nan 0.1000 -0.0004
320 0.7334 nan 0.1000 -0.0011
340 0.7303 nan 0.1000 -0.0005
360 0.7257 nan 0.1000 -0.0011
380 0.7226 nan 0.1000 -0.0002
400 0.7191 nan 0.1000 -0.0012
420 0.7144 nan 0.1000 -0.0002
440 0.7127 nan 0.1000 -0.0006
460 0.7100 nan 0.1000 -0.0004
480 0.7068 nan 0.1000 -0.0004
500 0.7054 nan 0.1000 -0.0009
520 0.7028 nan 0.1000 -0.0011
540 0.7015 nan 0.1000 -0.0008
560 0.6983 nan 0.1000 -0.0005
580 0.6958 nan 0.1000 -0.0002
600 0.6935 nan 0.1000 -0.0004
620 0.6914 nan 0.1000 -0.0013
640 0.6899 nan 0.1000 -0.0009
660 0.6893 nan 0.1000 -0.0013
680 0.6866 nan 0.1000 -0.0004
700 0.6846 nan 0.1000 -0.0008
720 0.6828 nan 0.1000 -0.0004
740 0.6806 nan 0.1000 -0.0005
760 0.6806 nan 0.1000 -0.0009
780 0.6783 nan 0.1000 -0.0003
800 0.6762 nan 0.1000 -0.0003
820 0.6736 nan 0.1000 -0.0008
840 0.6723 nan 0.1000 -0.0010
860 0.6718 nan 0.1000 -0.0006
880 0.6705 nan 0.1000 -0.0013
900 0.6686 nan 0.1000 -0.0013
920 0.6654 nan 0.1000 -0.0009
940 0.6628 nan 0.1000 -0.0003
960 0.6610 nan 0.1000 -0.0006
980 0.6598 nan 0.1000 -0.0005
1000 0.6578 nan 0.1000 -0.0007
1020 0.6566 nan 0.1000 -0.0007
1040 0.6545 nan 0.1000 -0.0009
1060 0.6529 nan 0.1000 -0.0012
1080 0.6524 nan 0.1000 -0.0009
1100 0.6506 nan 0.1000 -0.0006
- Fold02.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2721 nan 0.1000 0.0278
2 1.2150 nan 0.1000 0.0265
3 1.1643 nan 0.1000 0.0240
4 1.1247 nan 0.1000 0.0192
5 1.0911 nan 0.1000 0.0142
6 1.0607 nan 0.1000 0.0160
7 1.0364 nan 0.1000 0.0107
8 1.0149 nan 0.1000 0.0107
9 0.9956 nan 0.1000 0.0098
10 0.9790 nan 0.1000 0.0074
20 0.8819 nan 0.1000 0.0003
40 0.8091 nan 0.1000 -0.0001
60 0.7712 nan 0.1000 -0.0008
80 0.7430 nan 0.1000 -0.0004
100 0.7208 nan 0.1000 -0.0006
120 0.7028 nan 0.1000 -0.0006
140 0.6904 nan 0.1000 -0.0010
160 0.6729 nan 0.1000 -0.0007
180 0.6588 nan 0.1000 -0.0004
200 0.6438 nan 0.1000 -0.0006
220 0.6325 nan 0.1000 -0.0011
240 0.6207 nan 0.1000 -0.0006
260 0.6116 nan 0.1000 -0.0008
280 0.5997 nan 0.1000 -0.0022
300 0.5919 nan 0.1000 -0.0017
320 0.5863 nan 0.1000 -0.0007
340 0.5783 nan 0.1000 -0.0022
360 0.5687 nan 0.1000 -0.0011
380 0.5636 nan 0.1000 -0.0017
400 0.5556 nan 0.1000 -0.0001
420 0.5513 nan 0.1000 -0.0007
440 0.5455 nan 0.1000 -0.0016
460 0.5375 nan 0.1000 -0.0003
480 0.5318 nan 0.1000 -0.0004
500 0.5253 nan 0.1000 -0.0009
520 0.5201 nan 0.1000 -0.0008
540 0.5135 nan 0.1000 -0.0016
560 0.5064 nan 0.1000 -0.0002
580 0.5028 nan 0.1000 -0.0008
600 0.4999 nan 0.1000 -0.0009
620 0.4951 nan 0.1000 -0.0009
640 0.4901 nan 0.1000 -0.0011
660 0.4850 nan 0.1000 -0.0006
680 0.4809 nan 0.1000 -0.0003
700 0.4738 nan 0.1000 -0.0007
720 0.4687 nan 0.1000 -0.0001
740 0.4639 nan 0.1000 -0.0008
760 0.4599 nan 0.1000 -0.0009
780 0.4553 nan 0.1000 -0.0006
800 0.4508 nan 0.1000 -0.0013
820 0.4463 nan 0.1000 -0.0006
840 0.4416 nan 0.1000 -0.0006
860 0.4391 nan 0.1000 -0.0010
880 0.4349 nan 0.1000 -0.0009
900 0.4318 nan 0.1000 -0.0011
920 0.4285 nan 0.1000 -0.0011
940 0.4253 nan 0.1000 -0.0005
960 0.4232 nan 0.1000 -0.0003
980 0.4188 nan 0.1000 -0.0012
1000 0.4161 nan 0.1000 -0.0009
1020 0.4125 nan 0.1000 -0.0006
1040 0.4100 nan 0.1000 -0.0003
1060 0.4062 nan 0.1000 -0.0006
1080 0.4030 nan 0.1000 -0.0005
1100 0.4003 nan 0.1000 -0.0011
- Fold02.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2604 nan 0.1000 0.0403
2 1.1932 nan 0.1000 0.0301
3 1.1410 nan 0.1000 0.0240
4 1.0995 nan 0.1000 0.0185
5 1.0619 nan 0.1000 0.0172
6 1.0349 nan 0.1000 0.0131
7 1.0073 nan 0.1000 0.0129
8 0.9814 nan 0.1000 0.0113
9 0.9615 nan 0.1000 0.0079
10 0.9429 nan 0.1000 0.0073
20 0.8406 nan 0.1000 0.0029
40 0.7589 nan 0.1000 -0.0008
60 0.7113 nan 0.1000 -0.0008
80 0.6780 nan 0.1000 -0.0019
100 0.6508 nan 0.1000 -0.0010
120 0.6288 nan 0.1000 -0.0014
140 0.6072 nan 0.1000 -0.0015
160 0.5900 nan 0.1000 -0.0017
180 0.5703 nan 0.1000 -0.0017
200 0.5543 nan 0.1000 -0.0019
220 0.5417 nan 0.1000 -0.0018
240 0.5244 nan 0.1000 -0.0015
260 0.5119 nan 0.1000 -0.0010
280 0.4997 nan 0.1000 -0.0009
300 0.4888 nan 0.1000 -0.0006
320 0.4777 nan 0.1000 -0.0009
340 0.4697 nan 0.1000 -0.0018
360 0.4595 nan 0.1000 -0.0015
380 0.4499 nan 0.1000 -0.0007
400 0.4414 nan 0.1000 -0.0009
420 0.4324 nan 0.1000 -0.0004
440 0.4230 nan 0.1000 -0.0013
460 0.4150 nan 0.1000 -0.0013
480 0.4088 nan 0.1000 -0.0011
500 0.4007 nan 0.1000 -0.0008
520 0.3942 nan 0.1000 -0.0010
540 0.3873 nan 0.1000 -0.0006
560 0.3808 nan 0.1000 -0.0007
580 0.3743 nan 0.1000 -0.0014
600 0.3684 nan 0.1000 -0.0010
620 0.3620 nan 0.1000 -0.0002
640 0.3553 nan 0.1000 -0.0011
660 0.3480 nan 0.1000 -0.0013
680 0.3451 nan 0.1000 -0.0010
700 0.3403 nan 0.1000 -0.0008
720 0.3369 nan 0.1000 -0.0010
740 0.3304 nan 0.1000 -0.0016
760 0.3263 nan 0.1000 -0.0010
780 0.3223 nan 0.1000 -0.0007
800 0.3178 nan 0.1000 -0.0009
820 0.3125 nan 0.1000 -0.0011
840 0.3074 nan 0.1000 -0.0008
860 0.3023 nan 0.1000 -0.0009
880 0.2994 nan 0.1000 -0.0008
900 0.2951 nan 0.1000 -0.0008
920 0.2916 nan 0.1000 -0.0009
940 0.2877 nan 0.1000 -0.0007
960 0.2835 nan 0.1000 -0.0006
980 0.2810 nan 0.1000 -0.0007
1000 0.2767 nan 0.1000 -0.0007
1020 0.2731 nan 0.1000 -0.0012
1040 0.2691 nan 0.1000 -0.0013
1060 0.2648 nan 0.1000 -0.0005
1080 0.2630 nan 0.1000 -0.0009
1100 0.2586 nan 0.1000 -0.0009
- Fold02.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3259 nan 0.0100 0.0033
2 1.3196 nan 0.0100 0.0033
3 1.3130 nan 0.0100 0.0033
4 1.3068 nan 0.0100 0.0031
5 1.3010 nan 0.0100 0.0031
6 1.2941 nan 0.0100 0.0030
7 1.2885 nan 0.0100 0.0030
8 1.2824 nan 0.0100 0.0029
9 1.2769 nan 0.0100 0.0029
10 1.2712 nan 0.0100 0.0028
20 1.2192 nan 0.0100 0.0023
40 1.1444 nan 0.0100 0.0016
60 1.0905 nan 0.0100 0.0011
80 1.0511 nan 0.0100 0.0008
100 1.0195 nan 0.0100 0.0006
120 0.9929 nan 0.0100 0.0006
140 0.9699 nan 0.0100 0.0005
160 0.9510 nan 0.0100 0.0003
180 0.9350 nan 0.0100 0.0002
200 0.9207 nan 0.0100 0.0002
220 0.9084 nan 0.0100 0.0002
240 0.8974 nan 0.0100 0.0002
260 0.8876 nan 0.0100 0.0002
280 0.8783 nan 0.0100 0.0002
300 0.8703 nan 0.0100 0.0001
320 0.8636 nan 0.0100 0.0001
340 0.8565 nan 0.0100 0.0001
360 0.8503 nan 0.0100 0.0001
380 0.8446 nan 0.0100 0.0001
400 0.8389 nan 0.0100 0.0000
420 0.8339 nan 0.0100 -0.0001
440 0.8294 nan 0.0100 0.0001
460 0.8249 nan 0.0100 0.0000
480 0.8208 nan 0.0100 -0.0000
500 0.8171 nan 0.0100 0.0000
520 0.8131 nan 0.0100 -0.0000
540 0.8093 nan 0.0100 -0.0000
560 0.8055 nan 0.0100 -0.0000
580 0.8021 nan 0.0100 0.0000
600 0.7987 nan 0.0100 0.0000
620 0.7956 nan 0.0100 -0.0000
640 0.7925 nan 0.0100 -0.0000
660 0.7894 nan 0.0100 0.0000
680 0.7866 nan 0.0100 0.0000
700 0.7841 nan 0.0100 0.0000
720 0.7817 nan 0.0100 -0.0000
740 0.7794 nan 0.0100 0.0000
760 0.7772 nan 0.0100 -0.0000
780 0.7751 nan 0.0100 0.0000
800 0.7729 nan 0.0100 -0.0000
820 0.7709 nan 0.0100 -0.0000
840 0.7690 nan 0.0100 -0.0000
860 0.7670 nan 0.0100 -0.0000
880 0.7652 nan 0.0100 -0.0001
900 0.7633 nan 0.0100 -0.0001
920 0.7614 nan 0.0100 -0.0000
940 0.7599 nan 0.0100 -0.0000
960 0.7582 nan 0.0100 -0.0000
980 0.7564 nan 0.0100 -0.0000
1000 0.7549 nan 0.0100 -0.0000
1020 0.7531 nan 0.0100 -0.0001
1040 0.7516 nan 0.0100 -0.0001
1060 0.7501 nan 0.0100 -0.0000
1080 0.7487 nan 0.0100 -0.0000
1100 0.7472 nan 0.0100 -0.0001
- Fold03.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3242 nan 0.0100 0.0041
2 1.3157 nan 0.0100 0.0040
3 1.3080 nan 0.0100 0.0038
4 1.3009 nan 0.0100 0.0038
5 1.2936 nan 0.0100 0.0038
6 1.2864 nan 0.0100 0.0037
7 1.2790 nan 0.0100 0.0037
8 1.2716 nan 0.0100 0.0036
9 1.2644 nan 0.0100 0.0033
10 1.2575 nan 0.0100 0.0034
20 1.1964 nan 0.0100 0.0026
40 1.1010 nan 0.0100 0.0020
60 1.0315 nan 0.0100 0.0015
80 0.9798 nan 0.0100 0.0011
100 0.9412 nan 0.0100 0.0008
120 0.9091 nan 0.0100 0.0004
140 0.8855 nan 0.0100 0.0004
160 0.8652 nan 0.0100 0.0002
180 0.8485 nan 0.0100 0.0003
200 0.8343 nan 0.0100 0.0002
220 0.8216 nan 0.0100 0.0003
240 0.8113 nan 0.0100 0.0001
260 0.8017 nan 0.0100 0.0001
280 0.7933 nan 0.0100 0.0001
300 0.7861 nan 0.0100 0.0000
320 0.7786 nan 0.0100 0.0000
340 0.7726 nan 0.0100 0.0000
360 0.7665 nan 0.0100 0.0000
380 0.7604 nan 0.0100 -0.0000
400 0.7548 nan 0.0100 -0.0002
420 0.7499 nan 0.0100 -0.0000
440 0.7455 nan 0.0100 -0.0001
460 0.7407 nan 0.0100 0.0000
480 0.7363 nan 0.0100 -0.0001
500 0.7323 nan 0.0100 0.0000
520 0.7280 nan 0.0100 -0.0001
540 0.7246 nan 0.0100 -0.0001
560 0.7213 nan 0.0100 -0.0000
580 0.7176 nan 0.0100 -0.0001
600 0.7146 nan 0.0100 -0.0001
620 0.7113 nan 0.0100 0.0000
640 0.7085 nan 0.0100 -0.0000
660 0.7059 nan 0.0100 -0.0000
680 0.7028 nan 0.0100 -0.0002
700 0.7001 nan 0.0100 -0.0000
720 0.6971 nan 0.0100 -0.0001
740 0.6949 nan 0.0100 -0.0001
760 0.6921 nan 0.0100 -0.0002
780 0.6897 nan 0.0100 -0.0001
800 0.6872 nan 0.0100 -0.0000
820 0.6848 nan 0.0100 -0.0001
840 0.6823 nan 0.0100 -0.0001
860 0.6801 nan 0.0100 -0.0001
880 0.6780 nan 0.0100 -0.0000
900 0.6756 nan 0.0100 -0.0001
920 0.6736 nan 0.0100 -0.0001
940 0.6710 nan 0.0100 0.0000
960 0.6690 nan 0.0100 -0.0001
980 0.6671 nan 0.0100 -0.0002
1000 0.6645 nan 0.0100 -0.0000
1020 0.6627 nan 0.0100 -0.0000
1040 0.6607 nan 0.0100 -0.0001
1060 0.6587 nan 0.0100 -0.0001
1080 0.6569 nan 0.0100 -0.0001
1100 0.6550 nan 0.0100 -0.0001
- Fold03.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3233 nan 0.0100 0.0042
2 1.3148 nan 0.0100 0.0041
3 1.3061 nan 0.0100 0.0039
4 1.2982 nan 0.0100 0.0039
5 1.2897 nan 0.0100 0.0038
6 1.2815 nan 0.0100 0.0039
7 1.2734 nan 0.0100 0.0038
8 1.2656 nan 0.0100 0.0037
9 1.2578 nan 0.0100 0.0038
10 1.2504 nan 0.0100 0.0035
20 1.1828 nan 0.0100 0.0029
40 1.0803 nan 0.0100 0.0021
60 1.0059 nan 0.0100 0.0015
80 0.9490 nan 0.0100 0.0008
100 0.9055 nan 0.0100 0.0007
120 0.8731 nan 0.0100 0.0004
140 0.8478 nan 0.0100 0.0005
160 0.8262 nan 0.0100 0.0002
180 0.8089 nan 0.0100 0.0002
200 0.7934 nan 0.0100 0.0003
220 0.7803 nan 0.0100 0.0001
240 0.7693 nan 0.0100 0.0001
260 0.7590 nan 0.0100 0.0000
280 0.7501 nan 0.0100 -0.0000
300 0.7414 nan 0.0100 0.0001
320 0.7340 nan 0.0100 -0.0001
340 0.7273 nan 0.0100 0.0000
360 0.7201 nan 0.0100 -0.0001
380 0.7145 nan 0.0100 -0.0001
400 0.7088 nan 0.0100 -0.0001
420 0.7041 nan 0.0100 -0.0001
440 0.6988 nan 0.0100 -0.0001
460 0.6934 nan 0.0100 0.0000
480 0.6888 nan 0.0100 -0.0001
500 0.6837 nan 0.0100 -0.0001
520 0.6796 nan 0.0100 -0.0001
540 0.6756 nan 0.0100 0.0000
560 0.6713 nan 0.0100 -0.0001
580 0.6678 nan 0.0100 -0.0002
600 0.6640 nan 0.0100 -0.0001
620 0.6604 nan 0.0100 -0.0001
640 0.6570 nan 0.0100 -0.0001
660 0.6537 nan 0.0100 -0.0000
680 0.6499 nan 0.0100 -0.0001
700 0.6469 nan 0.0100 -0.0000
720 0.6441 nan 0.0100 -0.0002
740 0.6411 nan 0.0100 0.0000
760 0.6383 nan 0.0100 -0.0001
780 0.6355 nan 0.0100 -0.0001
800 0.6327 nan 0.0100 -0.0002
820 0.6302 nan 0.0100 -0.0001
840 0.6278 nan 0.0100 -0.0001
860 0.6250 nan 0.0100 0.0000
880 0.6226 nan 0.0100 -0.0001
900 0.6202 nan 0.0100 -0.0003
920 0.6173 nan 0.0100 -0.0002
940 0.6148 nan 0.0100 -0.0001
960 0.6123 nan 0.0100 -0.0002
980 0.6094 nan 0.0100 -0.0001
1000 0.6072 nan 0.0100 -0.0002
1020 0.6050 nan 0.0100 -0.0000
1040 0.6028 nan 0.0100 -0.0001
1060 0.6007 nan 0.0100 -0.0001
1080 0.5984 nan 0.0100 -0.0001
1100 0.5965 nan 0.0100 -0.0001
- Fold03.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2656 nan 0.1000 0.0318
2 1.2097 nan 0.1000 0.0255
3 1.1668 nan 0.1000 0.0203
4 1.1322 nan 0.1000 0.0164
5 1.1061 nan 0.1000 0.0135
6 1.0796 nan 0.1000 0.0109
7 1.0587 nan 0.1000 0.0092
8 1.0414 nan 0.1000 0.0075
9 1.0241 nan 0.1000 0.0079
10 1.0081 nan 0.1000 0.0062
20 0.9136 nan 0.1000 0.0029
40 0.8375 nan 0.1000 -0.0002
60 0.7981 nan 0.1000 -0.0003
80 0.7718 nan 0.1000 -0.0003
100 0.7556 nan 0.1000 -0.0002
120 0.7413 nan 0.1000 -0.0009
140 0.7320 nan 0.1000 -0.0009
160 0.7242 nan 0.1000 -0.0009
180 0.7156 nan 0.1000 -0.0003
200 0.7089 nan 0.1000 -0.0009
220 0.7025 nan 0.1000 -0.0009
240 0.6966 nan 0.1000 -0.0010
260 0.6922 nan 0.1000 -0.0002
280 0.6869 nan 0.1000 -0.0007
300 0.6833 nan 0.1000 -0.0005
320 0.6788 nan 0.1000 -0.0002
340 0.6751 nan 0.1000 -0.0002
360 0.6724 nan 0.1000 -0.0009
380 0.6700 nan 0.1000 -0.0010
400 0.6666 nan 0.1000 -0.0008
420 0.6638 nan 0.1000 -0.0007
440 0.6606 nan 0.1000 -0.0003
460 0.6574 nan 0.1000 -0.0009
480 0.6549 nan 0.1000 -0.0011
500 0.6523 nan 0.1000 -0.0008
520 0.6499 nan 0.1000 -0.0015
540 0.6478 nan 0.1000 -0.0005
560 0.6456 nan 0.1000 -0.0005
580 0.6443 nan 0.1000 -0.0005
600 0.6431 nan 0.1000 -0.0003
620 0.6414 nan 0.1000 -0.0004
640 0.6395 nan 0.1000 -0.0006
660 0.6365 nan 0.1000 -0.0006
680 0.6352 nan 0.1000 -0.0014
700 0.6329 nan 0.1000 -0.0009
720 0.6312 nan 0.1000 -0.0009
740 0.6306 nan 0.1000 -0.0004
760 0.6285 nan 0.1000 -0.0007
780 0.6268 nan 0.1000 -0.0013
800 0.6262 nan 0.1000 -0.0008
820 0.6247 nan 0.1000 -0.0014
840 0.6247 nan 0.1000 -0.0003
860 0.6230 nan 0.1000 -0.0003
880 0.6216 nan 0.1000 -0.0007
900 0.6192 nan 0.1000 -0.0007
920 0.6182 nan 0.1000 -0.0006
940 0.6171 nan 0.1000 -0.0006
960 0.6148 nan 0.1000 -0.0010
980 0.6133 nan 0.1000 -0.0026
1000 0.6120 nan 0.1000 -0.0003
1020 0.6099 nan 0.1000 -0.0004
1040 0.6086 nan 0.1000 -0.0008
1060 0.6077 nan 0.1000 -0.0004
1080 0.6060 nan 0.1000 -0.0009
1100 0.6048 nan 0.1000 -0.0008
- Fold03.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2527 nan 0.1000 0.0364
2 1.1924 nan 0.1000 0.0273
3 1.1384 nan 0.1000 0.0262
4 1.0938 nan 0.1000 0.0223
5 1.0580 nan 0.1000 0.0164
6 1.0250 nan 0.1000 0.0140
7 0.9986 nan 0.1000 0.0131
8 0.9745 nan 0.1000 0.0108
9 0.9549 nan 0.1000 0.0086
10 0.9376 nan 0.1000 0.0093
20 0.8336 nan 0.1000 0.0020
40 0.7574 nan 0.1000 -0.0000
60 0.7161 nan 0.1000 -0.0001
80 0.6907 nan 0.1000 -0.0005
100 0.6693 nan 0.1000 -0.0010
120 0.6509 nan 0.1000 -0.0009
140 0.6333 nan 0.1000 -0.0006
160 0.6179 nan 0.1000 -0.0007
180 0.6043 nan 0.1000 -0.0005
200 0.5935 nan 0.1000 -0.0000
220 0.5833 nan 0.1000 -0.0005
240 0.5728 nan 0.1000 -0.0007
260 0.5622 nan 0.1000 -0.0008
280 0.5541 nan 0.1000 -0.0011
300 0.5463 nan 0.1000 -0.0009
320 0.5348 nan 0.1000 -0.0009
340 0.5244 nan 0.1000 -0.0006
360 0.5170 nan 0.1000 -0.0004
380 0.5110 nan 0.1000 -0.0008
400 0.5019 nan 0.1000 -0.0007
420 0.4945 nan 0.1000 -0.0009
440 0.4878 nan 0.1000 -0.0003
460 0.4846 nan 0.1000 -0.0005
480 0.4773 nan 0.1000 -0.0004
500 0.4703 nan 0.1000 -0.0011
520 0.4639 nan 0.1000 -0.0003
540 0.4570 nan 0.1000 -0.0009
560 0.4498 nan 0.1000 -0.0012
580 0.4455 nan 0.1000 -0.0004
600 0.4428 nan 0.1000 -0.0007
620 0.4392 nan 0.1000 -0.0003
640 0.4350 nan 0.1000 -0.0010
660 0.4310 nan 0.1000 -0.0007
680 0.4263 nan 0.1000 -0.0009
700 0.4229 nan 0.1000 -0.0005
720 0.4163 nan 0.1000 -0.0016
740 0.4127 nan 0.1000 -0.0008
760 0.4106 nan 0.1000 -0.0007
780 0.4064 nan 0.1000 -0.0005
800 0.4034 nan 0.1000 -0.0019
820 0.3999 nan 0.1000 -0.0004
840 0.3961 nan 0.1000 -0.0004
860 0.3923 nan 0.1000 -0.0011
880 0.3877 nan 0.1000 -0.0009
900 0.3851 nan 0.1000 -0.0007
920 0.3788 nan 0.1000 -0.0008
940 0.3744 nan 0.1000 -0.0010
960 0.3711 nan 0.1000 -0.0010
980 0.3679 nan 0.1000 -0.0006
1000 0.3623 nan 0.1000 -0.0004
1020 0.3600 nan 0.1000 -0.0011
1040 0.3559 nan 0.1000 -0.0010
1060 0.3513 nan 0.1000 -0.0007
1080 0.3483 nan 0.1000 -0.0008
1100 0.3437 nan 0.1000 -0.0004
- Fold03.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2489 nan 0.1000 0.0413
2 1.1828 nan 0.1000 0.0333
3 1.1255 nan 0.1000 0.0280
4 1.0775 nan 0.1000 0.0234
5 1.0344 nan 0.1000 0.0197
6 1.0028 nan 0.1000 0.0159
7 0.9728 nan 0.1000 0.0141
8 0.9469 nan 0.1000 0.0104
9 0.9232 nan 0.1000 0.0102
10 0.9093 nan 0.1000 0.0035
20 0.7933 nan 0.1000 0.0007
40 0.7116 nan 0.1000 -0.0001
60 0.6694 nan 0.1000 -0.0009
80 0.6326 nan 0.1000 -0.0011
100 0.6090 nan 0.1000 -0.0007
120 0.5885 nan 0.1000 -0.0011
140 0.5655 nan 0.1000 -0.0015
160 0.5477 nan 0.1000 -0.0014
180 0.5296 nan 0.1000 -0.0015
200 0.5154 nan 0.1000 -0.0016
220 0.5035 nan 0.1000 -0.0008
240 0.4917 nan 0.1000 -0.0020
260 0.4753 nan 0.1000 -0.0005
280 0.4600 nan 0.1000 -0.0012
300 0.4489 nan 0.1000 -0.0013
320 0.4370 nan 0.1000 -0.0008
340 0.4288 nan 0.1000 -0.0004
360 0.4223 nan 0.1000 -0.0010
380 0.4119 nan 0.1000 -0.0010
400 0.4023 nan 0.1000 -0.0005
420 0.3950 nan 0.1000 -0.0010
440 0.3871 nan 0.1000 -0.0008
460 0.3797 nan 0.1000 -0.0006
480 0.3724 nan 0.1000 -0.0010
500 0.3668 nan 0.1000 -0.0010
520 0.3607 nan 0.1000 -0.0009
540 0.3554 nan 0.1000 -0.0008
560 0.3509 nan 0.1000 -0.0008
580 0.3431 nan 0.1000 -0.0010
600 0.3367 nan 0.1000 -0.0012
620 0.3305 nan 0.1000 -0.0007
640 0.3248 nan 0.1000 -0.0010
660 0.3187 nan 0.1000 -0.0010
680 0.3135 nan 0.1000 -0.0010
700 0.3079 nan 0.1000 -0.0009
720 0.3048 nan 0.1000 -0.0011
740 0.2992 nan 0.1000 -0.0009
760 0.2942 nan 0.1000 -0.0011
780 0.2881 nan 0.1000 -0.0013
800 0.2843 nan 0.1000 -0.0014
820 0.2803 nan 0.1000 -0.0006
840 0.2764 nan 0.1000 -0.0007
860 0.2720 nan 0.1000 -0.0007
880 0.2685 nan 0.1000 -0.0008
900 0.2637 nan 0.1000 -0.0002
920 0.2596 nan 0.1000 -0.0010
940 0.2561 nan 0.1000 -0.0005
960 0.2527 nan 0.1000 -0.0013
980 0.2491 nan 0.1000 -0.0010
1000 0.2467 nan 0.1000 -0.0007
1020 0.2439 nan 0.1000 -0.0003
1040 0.2396 nan 0.1000 -0.0010
1060 0.2363 nan 0.1000 -0.0006
1080 0.2338 nan 0.1000 -0.0010
1100 0.2311 nan 0.1000 -0.0005
- Fold03.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3258 nan 0.0100 0.0030
2 1.3199 nan 0.0100 0.0029
3 1.3142 nan 0.0100 0.0028
4 1.3086 nan 0.0100 0.0028
5 1.3028 nan 0.0100 0.0027
6 1.2978 nan 0.0100 0.0027
7 1.2927 nan 0.0100 0.0027
8 1.2873 nan 0.0100 0.0026
9 1.2816 nan 0.0100 0.0025
10 1.2769 nan 0.0100 0.0025
20 1.2322 nan 0.0100 0.0021
40 1.1615 nan 0.0100 0.0014
60 1.1119 nan 0.0100 0.0010
80 1.0753 nan 0.0100 0.0008
100 1.0442 nan 0.0100 0.0003
120 1.0193 nan 0.0100 0.0003
140 0.9973 nan 0.0100 0.0004
160 0.9784 nan 0.0100 0.0004
180 0.9629 nan 0.0100 0.0003
200 0.9488 nan 0.0100 0.0003
220 0.9367 nan 0.0100 0.0002
240 0.9253 nan 0.0100 0.0002
260 0.9154 nan 0.0100 0.0002
280 0.9063 nan 0.0100 0.0001
300 0.8982 nan 0.0100 0.0001
320 0.8905 nan 0.0100 0.0001
340 0.8837 nan 0.0100 0.0001
360 0.8773 nan 0.0100 0.0001
380 0.8718 nan 0.0100 0.0001
400 0.8663 nan 0.0100 -0.0001
420 0.8612 nan 0.0100 0.0000
440 0.8574 nan 0.0100 0.0000
460 0.8530 nan 0.0100 0.0000
480 0.8489 nan 0.0100 0.0000
500 0.8448 nan 0.0100 -0.0000
520 0.8408 nan 0.0100 0.0001
540 0.8369 nan 0.0100 -0.0000
560 0.8334 nan 0.0100 0.0000
580 0.8302 nan 0.0100 0.0001
600 0.8272 nan 0.0100 -0.0000
620 0.8242 nan 0.0100 0.0000
640 0.8211 nan 0.0100 -0.0002
660 0.8183 nan 0.0100 0.0000
680 0.8158 nan 0.0100 -0.0000
700 0.8131 nan 0.0100 0.0000
720 0.8105 nan 0.0100 -0.0000
740 0.8080 nan 0.0100 -0.0000
760 0.8055 nan 0.0100 -0.0000
780 0.8031 nan 0.0100 0.0000
800 0.8012 nan 0.0100 -0.0001
820 0.7991 nan 0.0100 -0.0001
840 0.7972 nan 0.0100 0.0000
860 0.7952 nan 0.0100 -0.0001
880 0.7933 nan 0.0100 -0.0000
900 0.7915 nan 0.0100 0.0000
920 0.7894 nan 0.0100 -0.0000
940 0.7874 nan 0.0100 -0.0000
960 0.7857 nan 0.0100 -0.0001
980 0.7840 nan 0.0100 -0.0001
1000 0.7821 nan 0.0100 -0.0000
1020 0.7805 nan 0.0100 -0.0000
1040 0.7789 nan 0.0100 -0.0000
1060 0.7775 nan 0.0100 -0.0001
1080 0.7759 nan 0.0100 -0.0002
1100 0.7743 nan 0.0100 -0.0001
- Fold04.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3247 nan 0.0100 0.0037
2 1.3173 nan 0.0100 0.0036
3 1.3100 nan 0.0100 0.0034
4 1.3028 nan 0.0100 0.0035
5 1.2955 nan 0.0100 0.0034
6 1.2885 nan 0.0100 0.0034
7 1.2816 nan 0.0100 0.0032
8 1.2756 nan 0.0100 0.0028
9 1.2692 nan 0.0100 0.0030
10 1.2628 nan 0.0100 0.0031
20 1.2041 nan 0.0100 0.0026
40 1.1156 nan 0.0100 0.0017
60 1.0503 nan 0.0100 0.0013
80 1.0003 nan 0.0100 0.0010
100 0.9620 nan 0.0100 0.0008
120 0.9332 nan 0.0100 0.0005
140 0.9095 nan 0.0100 0.0004
160 0.8903 nan 0.0100 0.0004
180 0.8738 nan 0.0100 0.0002
200 0.8589 nan 0.0100 0.0002
220 0.8475 nan 0.0100 0.0003
240 0.8364 nan 0.0100 0.0002
260 0.8261 nan 0.0100 0.0000
280 0.8180 nan 0.0100 0.0000
300 0.8106 nan 0.0100 0.0001
320 0.8032 nan 0.0100 0.0000
340 0.7969 nan 0.0100 -0.0000
360 0.7915 nan 0.0100 -0.0000
380 0.7865 nan 0.0100 0.0000
400 0.7812 nan 0.0100 0.0000
420 0.7758 nan 0.0100 0.0000
440 0.7707 nan 0.0100 0.0000
460 0.7663 nan 0.0100 -0.0000
480 0.7623 nan 0.0100 -0.0000
500 0.7583 nan 0.0100 0.0000
520 0.7545 nan 0.0100 -0.0001
540 0.7508 nan 0.0100 -0.0000
560 0.7476 nan 0.0100 -0.0000
580 0.7443 nan 0.0100 -0.0000
600 0.7408 nan 0.0100 -0.0002
620 0.7376 nan 0.0100 -0.0001
640 0.7347 nan 0.0100 -0.0001
660 0.7319 nan 0.0100 -0.0001
680 0.7289 nan 0.0100 -0.0001
700 0.7262 nan 0.0100 0.0000
720 0.7239 nan 0.0100 -0.0001
740 0.7215 nan 0.0100 -0.0001
760 0.7185 nan 0.0100 -0.0001
780 0.7162 nan 0.0100 -0.0001
800 0.7134 nan 0.0100 -0.0000
820 0.7111 nan 0.0100 -0.0000
840 0.7084 nan 0.0100 -0.0000
860 0.7063 nan 0.0100 -0.0000
880 0.7039 nan 0.0100 -0.0001
900 0.7015 nan 0.0100 -0.0001
920 0.6998 nan 0.0100 -0.0002
940 0.6979 nan 0.0100 -0.0001
960 0.6958 nan 0.0100 -0.0000
980 0.6938 nan 0.0100 -0.0001
1000 0.6920 nan 0.0100 -0.0001
1020 0.6902 nan 0.0100 -0.0001
1040 0.6879 nan 0.0100 -0.0000
1060 0.6860 nan 0.0100 -0.0001
1080 0.6840 nan 0.0100 -0.0001
1100 0.6821 nan 0.0100 -0.0001
- Fold04.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3238 nan 0.0100 0.0043
2 1.3157 nan 0.0100 0.0039
3 1.3076 nan 0.0100 0.0040
4 1.3001 nan 0.0100 0.0039
5 1.2924 nan 0.0100 0.0036
6 1.2848 nan 0.0100 0.0038
7 1.2776 nan 0.0100 0.0036
8 1.2700 nan 0.0100 0.0035
9 1.2631 nan 0.0100 0.0032
10 1.2562 nan 0.0100 0.0033
20 1.1917 nan 0.0100 0.0027
40 1.0932 nan 0.0100 0.0019
60 1.0214 nan 0.0100 0.0013
80 0.9680 nan 0.0100 0.0011
100 0.9270 nan 0.0100 0.0007
120 0.8954 nan 0.0100 0.0005
140 0.8716 nan 0.0100 0.0003
160 0.8522 nan 0.0100 0.0003
180 0.8354 nan 0.0100 0.0002
200 0.8204 nan 0.0100 0.0000
220 0.8086 nan 0.0100 0.0000
240 0.7977 nan 0.0100 -0.0001
260 0.7883 nan 0.0100 -0.0001
280 0.7798 nan 0.0100 -0.0001
300 0.7719 nan 0.0100 -0.0000
320 0.7651 nan 0.0100 -0.0001
340 0.7589 nan 0.0100 -0.0001
360 0.7530 nan 0.0100 0.0001
380 0.7467 nan 0.0100 -0.0001
400 0.7415 nan 0.0100 -0.0001
420 0.7355 nan 0.0100 -0.0001
440 0.7303 nan 0.0100 -0.0001
460 0.7258 nan 0.0100 -0.0001
480 0.7203 nan 0.0100 0.0001
500 0.7156 nan 0.0100 -0.0001
520 0.7115 nan 0.0100 -0.0001
540 0.7073 nan 0.0100 -0.0000
560 0.7035 nan 0.0100 -0.0001
580 0.7000 nan 0.0100 -0.0001
600 0.6959 nan 0.0100 -0.0000
620 0.6925 nan 0.0100 -0.0002
640 0.6887 nan 0.0100 -0.0001
660 0.6854 nan 0.0100 -0.0002
680 0.6822 nan 0.0100 -0.0001
700 0.6784 nan 0.0100 0.0000
720 0.6753 nan 0.0100 -0.0001
740 0.6720 nan 0.0100 -0.0001
760 0.6689 nan 0.0100 -0.0001
780 0.6658 nan 0.0100 -0.0001
800 0.6631 nan 0.0100 -0.0000
820 0.6600 nan 0.0100 -0.0001
840 0.6571 nan 0.0100 -0.0001
860 0.6533 nan 0.0100 -0.0001
880 0.6506 nan 0.0100 -0.0001
900 0.6478 nan 0.0100 -0.0000
920 0.6452 nan 0.0100 -0.0001
940 0.6427 nan 0.0100 -0.0002
960 0.6396 nan 0.0100 -0.0001
980 0.6371 nan 0.0100 -0.0000
1000 0.6347 nan 0.0100 -0.0000
1020 0.6322 nan 0.0100 -0.0001
1040 0.6298 nan 0.0100 -0.0001
1060 0.6273 nan 0.0100 -0.0000
1080 0.6247 nan 0.0100 -0.0001
1100 0.6219 nan 0.0100 -0.0001
- Fold04.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2725 nan 0.1000 0.0284
2 1.2293 nan 0.1000 0.0228
3 1.1911 nan 0.1000 0.0194
4 1.1588 nan 0.1000 0.0159
5 1.1294 nan 0.1000 0.0127
6 1.1093 nan 0.1000 0.0083
7 1.0895 nan 0.1000 0.0101
8 1.0705 nan 0.1000 0.0084
9 1.0540 nan 0.1000 0.0074
10 1.0383 nan 0.1000 0.0071
20 0.9426 nan 0.1000 0.0020
40 0.8656 nan 0.1000 0.0001
60 0.8271 nan 0.1000 -0.0004
80 0.8003 nan 0.1000 0.0003
100 0.7834 nan 0.1000 -0.0002
120 0.7655 nan 0.1000 -0.0002
140 0.7556 nan 0.1000 -0.0005
160 0.7461 nan 0.1000 -0.0008
180 0.7384 nan 0.1000 -0.0005
200 0.7326 nan 0.1000 -0.0014
220 0.7249 nan 0.1000 -0.0003
240 0.7201 nan 0.1000 -0.0008
260 0.7138 nan 0.1000 -0.0005
280 0.7103 nan 0.1000 -0.0007
300 0.7047 nan 0.1000 -0.0007
320 0.6994 nan 0.1000 -0.0009
340 0.6950 nan 0.1000 -0.0010
360 0.6941 nan 0.1000 -0.0007
380 0.6887 nan 0.1000 -0.0008
400 0.6836 nan 0.1000 -0.0006
420 0.6802 nan 0.1000 -0.0009
440 0.6769 nan 0.1000 -0.0004
460 0.6740 nan 0.1000 -0.0009
480 0.6707 nan 0.1000 -0.0001
500 0.6679 nan 0.1000 -0.0010
520 0.6650 nan 0.1000 -0.0007
540 0.6623 nan 0.1000 -0.0012
560 0.6597 nan 0.1000 -0.0006
580 0.6581 nan 0.1000 -0.0011
600 0.6555 nan 0.1000 -0.0004
620 0.6547 nan 0.1000 -0.0011
640 0.6519 nan 0.1000 0.0001
660 0.6497 nan 0.1000 -0.0006
680 0.6481 nan 0.1000 -0.0016
700 0.6458 nan 0.1000 -0.0006
720 0.6439 nan 0.1000 -0.0008
740 0.6429 nan 0.1000 -0.0015
760 0.6414 nan 0.1000 -0.0009
780 0.6401 nan 0.1000 -0.0007
800 0.6386 nan 0.1000 -0.0006
820 0.6378 nan 0.1000 -0.0007
840 0.6358 nan 0.1000 -0.0003
860 0.6340 nan 0.1000 -0.0004
880 0.6322 nan 0.1000 -0.0011
900 0.6305 nan 0.1000 -0.0002
920 0.6284 nan 0.1000 -0.0014
940 0.6272 nan 0.1000 -0.0004
960 0.6254 nan 0.1000 -0.0010
980 0.6249 nan 0.1000 -0.0010
1000 0.6236 nan 0.1000 -0.0011
1020 0.6225 nan 0.1000 -0.0011
1040 0.6214 nan 0.1000 -0.0004
1060 0.6195 nan 0.1000 -0.0011
1080 0.6188 nan 0.1000 -0.0012
1100 0.6185 nan 0.1000 -0.0010
- Fold04.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2617 nan 0.1000 0.0355
2 1.2069 nan 0.1000 0.0276
3 1.1577 nan 0.1000 0.0234
4 1.1136 nan 0.1000 0.0214
5 1.0797 nan 0.1000 0.0173
6 1.0487 nan 0.1000 0.0153
7 1.0216 nan 0.1000 0.0127
8 0.9972 nan 0.1000 0.0105
9 0.9763 nan 0.1000 0.0078
10 0.9583 nan 0.1000 0.0073
20 0.8610 nan 0.1000 0.0016
40 0.7877 nan 0.1000 0.0000
60 0.7487 nan 0.1000 -0.0004
80 0.7218 nan 0.1000 -0.0007
100 0.7017 nan 0.1000 -0.0007
120 0.6827 nan 0.1000 -0.0012
140 0.6649 nan 0.1000 -0.0009
160 0.6472 nan 0.1000 -0.0002
180 0.6334 nan 0.1000 -0.0009
200 0.6186 nan 0.1000 -0.0009
220 0.6068 nan 0.1000 -0.0011
240 0.5939 nan 0.1000 -0.0005
260 0.5827 nan 0.1000 -0.0008
280 0.5730 nan 0.1000 -0.0003
300 0.5637 nan 0.1000 -0.0010
320 0.5535 nan 0.1000 -0.0006
340 0.5452 nan 0.1000 -0.0005
360 0.5382 nan 0.1000 -0.0012
380 0.5313 nan 0.1000 -0.0013
400 0.5242 nan 0.1000 -0.0008
420 0.5185 nan 0.1000 -0.0014
440 0.5132 nan 0.1000 -0.0004
460 0.5074 nan 0.1000 -0.0006
480 0.5032 nan 0.1000 -0.0005
500 0.4963 nan 0.1000 -0.0012
520 0.4902 nan 0.1000 -0.0009
540 0.4842 nan 0.1000 -0.0005
560 0.4794 nan 0.1000 -0.0013
580 0.4719 nan 0.1000 -0.0010
600 0.4690 nan 0.1000 -0.0006
620 0.4631 nan 0.1000 -0.0010
640 0.4566 nan 0.1000 -0.0006
660 0.4526 nan 0.1000 -0.0009
680 0.4486 nan 0.1000 -0.0008
700 0.4438 nan 0.1000 -0.0009
720 0.4403 nan 0.1000 -0.0013
740 0.4347 nan 0.1000 -0.0008
760 0.4314 nan 0.1000 -0.0013
780 0.4264 nan 0.1000 -0.0006
800 0.4235 nan 0.1000 -0.0005
820 0.4185 nan 0.1000 -0.0006
840 0.4150 nan 0.1000 -0.0012
860 0.4111 nan 0.1000 -0.0008
880 0.4075 nan 0.1000 -0.0006
900 0.4042 nan 0.1000 -0.0006
920 0.4009 nan 0.1000 -0.0005
940 0.3976 nan 0.1000 -0.0006
960 0.3934 nan 0.1000 -0.0007
980 0.3915 nan 0.1000 -0.0007
1000 0.3876 nan 0.1000 -0.0004
1020 0.3844 nan 0.1000 -0.0010
1040 0.3817 nan 0.1000 -0.0010
1060 0.3790 nan 0.1000 -0.0008
1080 0.3769 nan 0.1000 -0.0004
1100 0.3733 nan 0.1000 -0.0008
- Fold04.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2523 nan 0.1000 0.0385
2 1.1856 nan 0.1000 0.0334
3 1.1299 nan 0.1000 0.0260
4 1.0882 nan 0.1000 0.0175
5 1.0480 nan 0.1000 0.0196
6 1.0168 nan 0.1000 0.0130
7 0.9879 nan 0.1000 0.0133
8 0.9596 nan 0.1000 0.0117
9 0.9386 nan 0.1000 0.0088
10 0.9235 nan 0.1000 0.0058
20 0.8178 nan 0.1000 0.0019
40 0.7378 nan 0.1000 0.0000
60 0.6947 nan 0.1000 -0.0014
80 0.6616 nan 0.1000 -0.0014
100 0.6335 nan 0.1000 -0.0010
120 0.6110 nan 0.1000 -0.0014
140 0.5949 nan 0.1000 -0.0014
160 0.5787 nan 0.1000 -0.0024
180 0.5578 nan 0.1000 -0.0005
200 0.5414 nan 0.1000 -0.0012
220 0.5255 nan 0.1000 -0.0004
240 0.5085 nan 0.1000 -0.0024
260 0.4982 nan 0.1000 -0.0008
280 0.4852 nan 0.1000 -0.0007
300 0.4743 nan 0.1000 -0.0005
320 0.4637 nan 0.1000 -0.0003
340 0.4571 nan 0.1000 -0.0009
360 0.4478 nan 0.1000 -0.0020
380 0.4382 nan 0.1000 -0.0015
400 0.4286 nan 0.1000 -0.0010
420 0.4194 nan 0.1000 -0.0010
440 0.4124 nan 0.1000 -0.0008
460 0.4047 nan 0.1000 -0.0003
480 0.3969 nan 0.1000 -0.0007
500 0.3886 nan 0.1000 -0.0012
520 0.3812 nan 0.1000 -0.0001
540 0.3740 nan 0.1000 -0.0007
560 0.3697 nan 0.1000 -0.0016
580 0.3628 nan 0.1000 -0.0012
600 0.3551 nan 0.1000 -0.0010
620 0.3504 nan 0.1000 -0.0018
640 0.3434 nan 0.1000 -0.0008
660 0.3383 nan 0.1000 -0.0008
680 0.3330 nan 0.1000 -0.0013
700 0.3256 nan 0.1000 -0.0011
720 0.3196 nan 0.1000 -0.0006
740 0.3143 nan 0.1000 -0.0008
760 0.3101 nan 0.1000 -0.0008
780 0.3060 nan 0.1000 -0.0019
800 0.3031 nan 0.1000 -0.0010
820 0.2981 nan 0.1000 -0.0010
840 0.2934 nan 0.1000 -0.0011
860 0.2906 nan 0.1000 -0.0008
880 0.2873 nan 0.1000 -0.0015
900 0.2829 nan 0.1000 -0.0005
920 0.2794 nan 0.1000 -0.0011
940 0.2748 nan 0.1000 -0.0009
960 0.2706 nan 0.1000 -0.0009
980 0.2658 nan 0.1000 -0.0007
1000 0.2628 nan 0.1000 -0.0006
1020 0.2590 nan 0.1000 -0.0011
1040 0.2571 nan 0.1000 -0.0008
1060 0.2521 nan 0.1000 -0.0005
1080 0.2482 nan 0.1000 -0.0002
1100 0.2455 nan 0.1000 -0.0007
- Fold04.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3263 nan 0.0100 0.0030
2 1.3203 nan 0.0100 0.0029
3 1.3142 nan 0.0100 0.0029
4 1.3084 nan 0.0100 0.0028
5 1.3031 nan 0.0100 0.0028
6 1.2973 nan 0.0100 0.0027
7 1.2918 nan 0.0100 0.0028
8 1.2866 nan 0.0100 0.0027
9 1.2817 nan 0.0100 0.0026
10 1.2768 nan 0.0100 0.0025
20 1.2323 nan 0.0100 0.0021
40 1.1618 nan 0.0100 0.0015
60 1.1105 nan 0.0100 0.0010
80 1.0741 nan 0.0100 0.0008
100 1.0458 nan 0.0100 0.0006
120 1.0214 nan 0.0100 0.0005
140 1.0006 nan 0.0100 0.0004
160 0.9834 nan 0.0100 0.0003
180 0.9695 nan 0.0100 0.0003
200 0.9573 nan 0.0100 0.0003
220 0.9463 nan 0.0100 0.0002
240 0.9362 nan 0.0100 0.0001
260 0.9278 nan 0.0100 0.0002
280 0.9194 nan 0.0100 0.0002
300 0.9121 nan 0.0100 0.0001
320 0.9051 nan 0.0100 0.0000
340 0.8988 nan 0.0100 0.0001
360 0.8932 nan 0.0100 0.0001
380 0.8877 nan 0.0100 -0.0001
400 0.8823 nan 0.0100 -0.0000
420 0.8774 nan 0.0100 -0.0000
440 0.8726 nan 0.0100 0.0001
460 0.8682 nan 0.0100 0.0001
480 0.8645 nan 0.0100 0.0000
500 0.8606 nan 0.0100 -0.0000
520 0.8567 nan 0.0100 -0.0000
540 0.8531 nan 0.0100 -0.0001
560 0.8497 nan 0.0100 -0.0000
580 0.8465 nan 0.0100 -0.0000
600 0.8434 nan 0.0100 -0.0000
620 0.8405 nan 0.0100 -0.0000
640 0.8377 nan 0.0100 -0.0000
660 0.8350 nan 0.0100 -0.0000
680 0.8326 nan 0.0100 -0.0000
700 0.8301 nan 0.0100 0.0000
720 0.8276 nan 0.0100 -0.0001
740 0.8254 nan 0.0100 -0.0000
760 0.8232 nan 0.0100 -0.0000
780 0.8207 nan 0.0100 -0.0000
800 0.8187 nan 0.0100 -0.0000
820 0.8166 nan 0.0100 0.0000
840 0.8147 nan 0.0100 -0.0000
860 0.8129 nan 0.0100 -0.0002
880 0.8112 nan 0.0100 0.0000
900 0.8095 nan 0.0100 -0.0001
920 0.8076 nan 0.0100 -0.0000
940 0.8060 nan 0.0100 -0.0001
960 0.8045 nan 0.0100 -0.0001
980 0.8030 nan 0.0100 -0.0001
1000 0.8015 nan 0.0100 -0.0000
1020 0.8000 nan 0.0100 -0.0002
1040 0.7988 nan 0.0100 -0.0001
1060 0.7975 nan 0.0100 -0.0001
1080 0.7960 nan 0.0100 -0.0001
1100 0.7947 nan 0.0100 -0.0002
- Fold05.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3243 nan 0.0100 0.0036
2 1.3170 nan 0.0100 0.0036
3 1.3095 nan 0.0100 0.0035
4 1.3027 nan 0.0100 0.0035
5 1.2962 nan 0.0100 0.0034
6 1.2891 nan 0.0100 0.0030
7 1.2825 nan 0.0100 0.0035
8 1.2759 nan 0.0100 0.0033
9 1.2691 nan 0.0100 0.0031
10 1.2627 nan 0.0100 0.0030
20 1.2071 nan 0.0100 0.0023
40 1.1183 nan 0.0100 0.0016
60 1.0547 nan 0.0100 0.0013
80 1.0067 nan 0.0100 0.0009
100 0.9706 nan 0.0100 0.0008
120 0.9433 nan 0.0100 0.0006
140 0.9223 nan 0.0100 0.0001
160 0.9041 nan 0.0100 0.0002
180 0.8883 nan 0.0100 0.0001
200 0.8759 nan 0.0100 0.0001
220 0.8656 nan 0.0100 0.0001
240 0.8547 nan 0.0100 0.0002
260 0.8458 nan 0.0100 0.0002
280 0.8374 nan 0.0100 0.0000
300 0.8298 nan 0.0100 0.0001
320 0.8232 nan 0.0100 -0.0000
340 0.8167 nan 0.0100 0.0000
360 0.8108 nan 0.0100 -0.0000
380 0.8055 nan 0.0100 0.0000
400 0.8001 nan 0.0100 -0.0001
420 0.7956 nan 0.0100 0.0000
440 0.7912 nan 0.0100 -0.0000
460 0.7873 nan 0.0100 -0.0002
480 0.7833 nan 0.0100 -0.0000
500 0.7793 nan 0.0100 0.0001
520 0.7755 nan 0.0100 -0.0000
540 0.7720 nan 0.0100 -0.0001
560 0.7688 nan 0.0100 -0.0000
580 0.7655 nan 0.0100 -0.0000
600 0.7623 nan 0.0100 -0.0000
620 0.7594 nan 0.0100 -0.0000
640 0.7566 nan 0.0100 0.0000
660 0.7542 nan 0.0100 0.0000
680 0.7514 nan 0.0100 -0.0000
700 0.7487 nan 0.0100 -0.0000
720 0.7460 nan 0.0100 -0.0001
740 0.7429 nan 0.0100 -0.0000
760 0.7401 nan 0.0100 -0.0000
780 0.7380 nan 0.0100 -0.0000
800 0.7353 nan 0.0100 0.0000
820 0.7329 nan 0.0100 -0.0002
840 0.7306 nan 0.0100 -0.0001
860 0.7286 nan 0.0100 -0.0001
880 0.7264 nan 0.0100 -0.0001
900 0.7245 nan 0.0100 -0.0001
920 0.7223 nan 0.0100 0.0000
940 0.7201 nan 0.0100 -0.0001
960 0.7183 nan 0.0100 -0.0000
980 0.7163 nan 0.0100 -0.0000
1000 0.7142 nan 0.0100 -0.0001
1020 0.7121 nan 0.0100 -0.0001
1040 0.7101 nan 0.0100 -0.0001
1060 0.7081 nan 0.0100 -0.0001
1080 0.7063 nan 0.0100 -0.0001
1100 0.7046 nan 0.0100 -0.0001
- Fold05.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3243 nan 0.0100 0.0040
2 1.3161 nan 0.0100 0.0041
3 1.3081 nan 0.0100 0.0040
4 1.3007 nan 0.0100 0.0042
5 1.2931 nan 0.0100 0.0038
6 1.2857 nan 0.0100 0.0033
7 1.2783 nan 0.0100 0.0033
8 1.2714 nan 0.0100 0.0032
9 1.2649 nan 0.0100 0.0030
10 1.2578 nan 0.0100 0.0033
20 1.1964 nan 0.0100 0.0027
40 1.0985 nan 0.0100 0.0020
60 1.0284 nan 0.0100 0.0014
80 0.9765 nan 0.0100 0.0011
100 0.9378 nan 0.0100 0.0006
120 0.9087 nan 0.0100 0.0005
140 0.8857 nan 0.0100 0.0004
160 0.8666 nan 0.0100 0.0003
180 0.8506 nan 0.0100 0.0002
200 0.8359 nan 0.0100 0.0002
220 0.8235 nan 0.0100 0.0003
240 0.8129 nan 0.0100 0.0002
260 0.8034 nan 0.0100 0.0001
280 0.7939 nan 0.0100 0.0001
300 0.7863 nan 0.0100 0.0000
320 0.7783 nan 0.0100 -0.0000
340 0.7717 nan 0.0100 0.0001
360 0.7659 nan 0.0100 -0.0000
380 0.7595 nan 0.0100 -0.0001
400 0.7539 nan 0.0100 -0.0000
420 0.7486 nan 0.0100 -0.0001
440 0.7439 nan 0.0100 -0.0001
460 0.7389 nan 0.0100 -0.0001
480 0.7351 nan 0.0100 -0.0002
500 0.7308 nan 0.0100 -0.0001
520 0.7271 nan 0.0100 0.0000
540 0.7232 nan 0.0100 -0.0001
560 0.7191 nan 0.0100 -0.0001
580 0.7153 nan 0.0100 -0.0001
600 0.7118 nan 0.0100 -0.0001
620 0.7084 nan 0.0100 -0.0001
640 0.7047 nan 0.0100 -0.0001
660 0.7012 nan 0.0100 -0.0002
680 0.6978 nan 0.0100 -0.0001
700 0.6949 nan 0.0100 -0.0001
720 0.6918 nan 0.0100 -0.0001
740 0.6886 nan 0.0100 -0.0000
760 0.6860 nan 0.0100 -0.0002
780 0.6835 nan 0.0100 -0.0001
800 0.6807 nan 0.0100 -0.0002
820 0.6778 nan 0.0100 -0.0002
840 0.6753 nan 0.0100 -0.0002
860 0.6724 nan 0.0100 -0.0001
880 0.6697 nan 0.0100 -0.0000
900 0.6670 nan 0.0100 -0.0002
920 0.6640 nan 0.0100 -0.0001
940 0.6611 nan 0.0100 -0.0001
960 0.6584 nan 0.0100 -0.0001
980 0.6561 nan 0.0100 -0.0001
1000 0.6535 nan 0.0100 -0.0001
1020 0.6510 nan 0.0100 -0.0002
1040 0.6485 nan 0.0100 -0.0001
1060 0.6455 nan 0.0100 -0.0002
1080 0.6432 nan 0.0100 -0.0001
1100 0.6413 nan 0.0100 -0.0000
- Fold05.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2717 nan 0.1000 0.0276
2 1.2269 nan 0.1000 0.0221
3 1.1846 nan 0.1000 0.0198
4 1.1529 nan 0.1000 0.0161
5 1.1242 nan 0.1000 0.0133
6 1.1056 nan 0.1000 0.0109
7 1.0871 nan 0.1000 0.0087
8 1.0708 nan 0.1000 0.0069
9 1.0589 nan 0.1000 0.0050
10 1.0437 nan 0.1000 0.0075
20 0.9523 nan 0.1000 0.0026
40 0.8765 nan 0.1000 0.0002
60 0.8394 nan 0.1000 0.0003
80 0.8149 nan 0.1000 -0.0003
100 0.7972 nan 0.1000 -0.0008
120 0.7865 nan 0.1000 -0.0005
140 0.7763 nan 0.1000 -0.0007
160 0.7699 nan 0.1000 -0.0004
180 0.7635 nan 0.1000 -0.0004
200 0.7568 nan 0.1000 -0.0005
220 0.7510 nan 0.1000 -0.0010
240 0.7466 nan 0.1000 -0.0013
260 0.7414 nan 0.1000 -0.0005
280 0.7378 nan 0.1000 -0.0005
300 0.7346 nan 0.1000 -0.0005
320 0.7322 nan 0.1000 -0.0013
340 0.7276 nan 0.1000 -0.0007
360 0.7255 nan 0.1000 -0.0008
380 0.7225 nan 0.1000 -0.0015
400 0.7177 nan 0.1000 -0.0005
420 0.7134 nan 0.1000 -0.0005
440 0.7099 nan 0.1000 -0.0006
460 0.7075 nan 0.1000 -0.0004
480 0.7051 nan 0.1000 -0.0010
500 0.7026 nan 0.1000 -0.0007
520 0.6987 nan 0.1000 -0.0007
540 0.6964 nan 0.1000 -0.0008
560 0.6944 nan 0.1000 -0.0007
580 0.6918 nan 0.1000 -0.0005
600 0.6903 nan 0.1000 -0.0006
620 0.6886 nan 0.1000 -0.0012
640 0.6862 nan 0.1000 -0.0008
660 0.6844 nan 0.1000 -0.0006
680 0.6822 nan 0.1000 -0.0008
700 0.6807 nan 0.1000 -0.0006
720 0.6785 nan 0.1000 -0.0008
740 0.6766 nan 0.1000 -0.0007
760 0.6746 nan 0.1000 -0.0009
780 0.6723 nan 0.1000 -0.0006
800 0.6700 nan 0.1000 -0.0004
820 0.6686 nan 0.1000 -0.0003
840 0.6657 nan 0.1000 -0.0007
860 0.6646 nan 0.1000 -0.0006
880 0.6639 nan 0.1000 -0.0004
900 0.6623 nan 0.1000 -0.0012
920 0.6614 nan 0.1000 -0.0006
940 0.6599 nan 0.1000 -0.0003
960 0.6572 nan 0.1000 -0.0022
980 0.6564 nan 0.1000 -0.0006
1000 0.6543 nan 0.1000 -0.0004
1020 0.6531 nan 0.1000 -0.0010
1040 0.6513 nan 0.1000 -0.0010
1060 0.6507 nan 0.1000 -0.0010
1080 0.6492 nan 0.1000 -0.0010
1100 0.6477 nan 0.1000 -0.0004
- Fold05.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2572 nan 0.1000 0.0316
2 1.2014 nan 0.1000 0.0279
3 1.1536 nan 0.1000 0.0229
4 1.1141 nan 0.1000 0.0201
5 1.0768 nan 0.1000 0.0177
6 1.0484 nan 0.1000 0.0123
7 1.0239 nan 0.1000 0.0124
8 1.0006 nan 0.1000 0.0102
9 0.9837 nan 0.1000 0.0067
10 0.9652 nan 0.1000 0.0080
20 0.8737 nan 0.1000 0.0023
40 0.8003 nan 0.1000 0.0002
60 0.7650 nan 0.1000 -0.0008
80 0.7402 nan 0.1000 -0.0008
100 0.7199 nan 0.1000 -0.0011
120 0.7003 nan 0.1000 -0.0001
140 0.6826 nan 0.1000 -0.0002
160 0.6678 nan 0.1000 -0.0008
180 0.6554 nan 0.1000 -0.0010
200 0.6473 nan 0.1000 -0.0013
220 0.6358 nan 0.1000 -0.0024
240 0.6248 nan 0.1000 -0.0006
260 0.6130 nan 0.1000 -0.0006
280 0.6048 nan 0.1000 -0.0005
300 0.5944 nan 0.1000 0.0000
320 0.5823 nan 0.1000 -0.0009
340 0.5763 nan 0.1000 -0.0008
360 0.5713 nan 0.1000 -0.0014
380 0.5638 nan 0.1000 -0.0010
400 0.5568 nan 0.1000 -0.0015
420 0.5504 nan 0.1000 -0.0012
440 0.5434 nan 0.1000 -0.0015
460 0.5380 nan 0.1000 -0.0015
480 0.5302 nan 0.1000 -0.0007
500 0.5256 nan 0.1000 -0.0013
520 0.5187 nan 0.1000 -0.0007
540 0.5130 nan 0.1000 -0.0008
560 0.5067 nan 0.1000 -0.0004
580 0.5026 nan 0.1000 -0.0015
600 0.4975 nan 0.1000 -0.0012
620 0.4933 nan 0.1000 -0.0007
640 0.4893 nan 0.1000 -0.0011
660 0.4862 nan 0.1000 -0.0010
680 0.4815 nan 0.1000 -0.0005
700 0.4774 nan 0.1000 -0.0009
720 0.4717 nan 0.1000 -0.0012
740 0.4687 nan 0.1000 -0.0009
760 0.4638 nan 0.1000 -0.0006
780 0.4603 nan 0.1000 -0.0016
800 0.4553 nan 0.1000 -0.0004
820 0.4520 nan 0.1000 -0.0029
840 0.4474 nan 0.1000 -0.0010
860 0.4447 nan 0.1000 -0.0013
880 0.4410 nan 0.1000 -0.0009
900 0.4385 nan 0.1000 -0.0009
920 0.4342 nan 0.1000 -0.0008
940 0.4331 nan 0.1000 -0.0007
960 0.4289 nan 0.1000 -0.0007
980 0.4252 nan 0.1000 -0.0012
1000 0.4199 nan 0.1000 -0.0010
1020 0.4170 nan 0.1000 -0.0005
1040 0.4130 nan 0.1000 -0.0005
1060 0.4100 nan 0.1000 -0.0012
1080 0.4075 nan 0.1000 -0.0004
1100 0.4052 nan 0.1000 -0.0013
- Fold05.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2542 nan 0.1000 0.0367
2 1.1910 nan 0.1000 0.0302
3 1.1378 nan 0.1000 0.0245
4 1.0933 nan 0.1000 0.0219
5 1.0567 nan 0.1000 0.0191
6 1.0239 nan 0.1000 0.0158
7 0.9980 nan 0.1000 0.0112
8 0.9737 nan 0.1000 0.0107
9 0.9549 nan 0.1000 0.0090
10 0.9365 nan 0.1000 0.0089
20 0.8401 nan 0.1000 0.0015
40 0.7630 nan 0.1000 0.0012
60 0.7163 nan 0.1000 0.0001
80 0.6843 nan 0.1000 -0.0013
100 0.6538 nan 0.1000 -0.0014
120 0.6322 nan 0.1000 -0.0010
140 0.6116 nan 0.1000 -0.0011
160 0.5961 nan 0.1000 -0.0019
180 0.5802 nan 0.1000 -0.0015
200 0.5676 nan 0.1000 -0.0008
220 0.5530 nan 0.1000 -0.0019
240 0.5406 nan 0.1000 -0.0012
260 0.5286 nan 0.1000 -0.0013
280 0.5212 nan 0.1000 -0.0011
300 0.5086 nan 0.1000 -0.0012
320 0.4991 nan 0.1000 -0.0021
340 0.4881 nan 0.1000 -0.0010
360 0.4796 nan 0.1000 -0.0009
380 0.4729 nan 0.1000 -0.0004
400 0.4648 nan 0.1000 -0.0012
420 0.4572 nan 0.1000 -0.0008
440 0.4482 nan 0.1000 -0.0016
460 0.4379 nan 0.1000 -0.0011
480 0.4277 nan 0.1000 -0.0009
500 0.4195 nan 0.1000 -0.0008
520 0.4131 nan 0.1000 -0.0008
540 0.4070 nan 0.1000 -0.0008
560 0.3995 nan 0.1000 -0.0009
580 0.3941 nan 0.1000 -0.0005
600 0.3870 nan 0.1000 -0.0015
620 0.3794 nan 0.1000 -0.0011
640 0.3747 nan 0.1000 -0.0010
660 0.3698 nan 0.1000 -0.0012
680 0.3641 nan 0.1000 -0.0010
700 0.3589 nan 0.1000 -0.0014
720 0.3534 nan 0.1000 -0.0010
740 0.3476 nan 0.1000 -0.0020
760 0.3429 nan 0.1000 -0.0010
780 0.3368 nan 0.1000 -0.0010
800 0.3321 nan 0.1000 -0.0009
820 0.3285 nan 0.1000 -0.0013
840 0.3229 nan 0.1000 -0.0006
860 0.3177 nan 0.1000 -0.0005
880 0.3143 nan 0.1000 -0.0011
900 0.3099 nan 0.1000 -0.0006
920 0.3041 nan 0.1000 -0.0011
940 0.3002 nan 0.1000 -0.0005
960 0.2961 nan 0.1000 -0.0006
980 0.2916 nan 0.1000 -0.0011
1000 0.2881 nan 0.1000 -0.0006
1020 0.2839 nan 0.1000 -0.0011
1040 0.2799 nan 0.1000 -0.0009
1060 0.2771 nan 0.1000 -0.0006
1080 0.2735 nan 0.1000 -0.0012
1100 0.2698 nan 0.1000 -0.0003
- Fold05.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3258 nan 0.0100 0.0029
2 1.3203 nan 0.0100 0.0028
3 1.3149 nan 0.0100 0.0028
4 1.3093 nan 0.0100 0.0027
5 1.3041 nan 0.0100 0.0027
6 1.2992 nan 0.0100 0.0026
7 1.2945 nan 0.0100 0.0025
8 1.2893 nan 0.0100 0.0025
9 1.2843 nan 0.0100 0.0024
10 1.2798 nan 0.0100 0.0024
20 1.2367 nan 0.0100 0.0020
40 1.1690 nan 0.0100 0.0014
60 1.1232 nan 0.0100 0.0010
80 1.0877 nan 0.0100 0.0008
100 1.0586 nan 0.0100 0.0006
120 1.0352 nan 0.0100 0.0005
140 1.0164 nan 0.0100 0.0004
160 0.9990 nan 0.0100 0.0002
180 0.9844 nan 0.0100 0.0003
200 0.9707 nan 0.0100 0.0002
220 0.9596 nan 0.0100 0.0002
240 0.9489 nan 0.0100 0.0001
260 0.9391 nan 0.0100 0.0001
280 0.9306 nan 0.0100 0.0001
300 0.9231 nan 0.0100 0.0001
320 0.9163 nan 0.0100 0.0001
340 0.9094 nan 0.0100 0.0001
360 0.9036 nan 0.0100 0.0001
380 0.8975 nan 0.0100 0.0000
400 0.8924 nan 0.0100 0.0001
420 0.8875 nan 0.0100 -0.0000
440 0.8829 nan 0.0100 0.0000
460 0.8781 nan 0.0100 0.0000
480 0.8739 nan 0.0100 -0.0000
500 0.8695 nan 0.0100 -0.0001
520 0.8660 nan 0.0100 0.0000
540 0.8622 nan 0.0100 -0.0001
560 0.8587 nan 0.0100 0.0000
580 0.8554 nan 0.0100 -0.0000
600 0.8522 nan 0.0100 0.0000
620 0.8492 nan 0.0100 -0.0002
640 0.8462 nan 0.0100 0.0000
660 0.8436 nan 0.0100 -0.0001
680 0.8407 nan 0.0100 0.0000
700 0.8381 nan 0.0100 -0.0000
720 0.8356 nan 0.0100 0.0000
740 0.8331 nan 0.0100 0.0000
760 0.8308 nan 0.0100 -0.0000
780 0.8286 nan 0.0100 -0.0000
800 0.8265 nan 0.0100 -0.0001
820 0.8243 nan 0.0100 -0.0000
840 0.8222 nan 0.0100 0.0000
860 0.8202 nan 0.0100 -0.0001
880 0.8181 nan 0.0100 -0.0000
900 0.8163 nan 0.0100 -0.0000
920 0.8146 nan 0.0100 -0.0000
940 0.8129 nan 0.0100 0.0000
960 0.8113 nan 0.0100 0.0000
980 0.8096 nan 0.0100 -0.0001
1000 0.8081 nan 0.0100 -0.0000
1020 0.8066 nan 0.0100 -0.0000
1040 0.8052 nan 0.0100 -0.0000
1060 0.8038 nan 0.0100 -0.0000
1080 0.8027 nan 0.0100 -0.0000
1100 0.8014 nan 0.0100 -0.0001
- Fold06.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3244 nan 0.0100 0.0036
2 1.3176 nan 0.0100 0.0036
3 1.3102 nan 0.0100 0.0034
4 1.3033 nan 0.0100 0.0032
5 1.2966 nan 0.0100 0.0034
6 1.2897 nan 0.0100 0.0031
7 1.2832 nan 0.0100 0.0029
8 1.2768 nan 0.0100 0.0030
9 1.2708 nan 0.0100 0.0031
10 1.2648 nan 0.0100 0.0030
20 1.2096 nan 0.0100 0.0024
40 1.1231 nan 0.0100 0.0018
60 1.0614 nan 0.0100 0.0011
80 1.0165 nan 0.0100 0.0009
100 0.9808 nan 0.0100 0.0005
120 0.9537 nan 0.0100 0.0003
140 0.9309 nan 0.0100 0.0003
160 0.9118 nan 0.0100 0.0003
180 0.8967 nan 0.0100 0.0004
200 0.8840 nan 0.0100 0.0001
220 0.8724 nan 0.0100 0.0001
240 0.8612 nan 0.0100 0.0000
260 0.8522 nan 0.0100 0.0000
280 0.8437 nan 0.0100 -0.0000
300 0.8363 nan 0.0100 0.0001
320 0.8289 nan 0.0100 0.0000
340 0.8224 nan 0.0100 0.0000
360 0.8167 nan 0.0100 -0.0000
380 0.8112 nan 0.0100 -0.0000
400 0.8061 nan 0.0100 -0.0000
420 0.8015 nan 0.0100 -0.0000
440 0.7971 nan 0.0100 -0.0000
460 0.7925 nan 0.0100 -0.0001
480 0.7879 nan 0.0100 -0.0000
500 0.7841 nan 0.0100 -0.0001
520 0.7804 nan 0.0100 -0.0000
540 0.7773 nan 0.0100 -0.0001
560 0.7747 nan 0.0100 -0.0000
580 0.7715 nan 0.0100 -0.0000
600 0.7683 nan 0.0100 -0.0001
620 0.7647 nan 0.0100 -0.0001
640 0.7620 nan 0.0100 -0.0000
660 0.7592 nan 0.0100 -0.0000
680 0.7565 nan 0.0100 -0.0002
700 0.7538 nan 0.0100 -0.0001
720 0.7517 nan 0.0100 -0.0001
740 0.7489 nan 0.0100 -0.0000
760 0.7462 nan 0.0100 -0.0000
780 0.7436 nan 0.0100 -0.0001
800 0.7417 nan 0.0100 -0.0002
820 0.7391 nan 0.0100 -0.0000
840 0.7364 nan 0.0100 -0.0001
860 0.7344 nan 0.0100 -0.0001
880 0.7322 nan 0.0100 -0.0000
900 0.7297 nan 0.0100 -0.0001
920 0.7275 nan 0.0100 -0.0001
940 0.7255 nan 0.0100 -0.0001
960 0.7235 nan 0.0100 -0.0001
980 0.7213 nan 0.0100 -0.0001
1000 0.7191 nan 0.0100 -0.0001
1020 0.7173 nan 0.0100 -0.0000
1040 0.7154 nan 0.0100 -0.0000
1060 0.7131 nan 0.0100 -0.0001
1080 0.7113 nan 0.0100 -0.0001
1100 0.7098 nan 0.0100 -0.0001
- Fold06.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3240 nan 0.0100 0.0036
2 1.3164 nan 0.0100 0.0037
3 1.3089 nan 0.0100 0.0037
4 1.3020 nan 0.0100 0.0036
5 1.2947 nan 0.0100 0.0034
6 1.2880 nan 0.0100 0.0032
7 1.2811 nan 0.0100 0.0036
8 1.2737 nan 0.0100 0.0035
9 1.2673 nan 0.0100 0.0030
10 1.2610 nan 0.0100 0.0031
20 1.1990 nan 0.0100 0.0026
40 1.1049 nan 0.0100 0.0018
60 1.0372 nan 0.0100 0.0014
80 0.9864 nan 0.0100 0.0010
100 0.9486 nan 0.0100 0.0008
120 0.9194 nan 0.0100 0.0004
140 0.8951 nan 0.0100 0.0003
160 0.8751 nan 0.0100 0.0004
180 0.8589 nan 0.0100 -0.0000
200 0.8460 nan 0.0100 0.0002
220 0.8333 nan 0.0100 -0.0000
240 0.8236 nan 0.0100 0.0001
260 0.8133 nan 0.0100 0.0002
280 0.8048 nan 0.0100 0.0000
300 0.7966 nan 0.0100 0.0001
320 0.7894 nan 0.0100 0.0001
340 0.7826 nan 0.0100 0.0000
360 0.7766 nan 0.0100 -0.0001
380 0.7701 nan 0.0100 0.0000
400 0.7648 nan 0.0100 0.0001
420 0.7592 nan 0.0100 -0.0001
440 0.7541 nan 0.0100 -0.0001
460 0.7492 nan 0.0100 -0.0001
480 0.7451 nan 0.0100 -0.0001
500 0.7406 nan 0.0100 -0.0001
520 0.7367 nan 0.0100 -0.0001
540 0.7323 nan 0.0100 -0.0000
560 0.7282 nan 0.0100 -0.0001
580 0.7243 nan 0.0100 -0.0001
600 0.7204 nan 0.0100 -0.0001
620 0.7165 nan 0.0100 -0.0002
640 0.7132 nan 0.0100 -0.0001
660 0.7100 nan 0.0100 -0.0001
680 0.7065 nan 0.0100 -0.0001
700 0.7033 nan 0.0100 -0.0003
720 0.7003 nan 0.0100 -0.0002
740 0.6972 nan 0.0100 -0.0001
760 0.6941 nan 0.0100 -0.0002
780 0.6909 nan 0.0100 -0.0001
800 0.6873 nan 0.0100 -0.0001
820 0.6848 nan 0.0100 -0.0001
840 0.6828 nan 0.0100 -0.0003
860 0.6796 nan 0.0100 -0.0001
880 0.6772 nan 0.0100 -0.0001
900 0.6745 nan 0.0100 -0.0001
920 0.6724 nan 0.0100 -0.0001
940 0.6696 nan 0.0100 -0.0001
960 0.6668 nan 0.0100 -0.0000
980 0.6643 nan 0.0100 -0.0000
1000 0.6614 nan 0.0100 -0.0000
1020 0.6589 nan 0.0100 -0.0001
1040 0.6566 nan 0.0100 -0.0001
1060 0.6541 nan 0.0100 -0.0001
1080 0.6518 nan 0.0100 -0.0001
1100 0.6498 nan 0.0100 -0.0002
- Fold06.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2750 nan 0.1000 0.0264
2 1.2333 nan 0.1000 0.0228
3 1.1986 nan 0.1000 0.0188
4 1.1640 nan 0.1000 0.0152
5 1.1412 nan 0.1000 0.0122
6 1.1201 nan 0.1000 0.0104
7 1.0996 nan 0.1000 0.0088
8 1.0824 nan 0.1000 0.0069
9 1.0675 nan 0.1000 0.0071
10 1.0556 nan 0.1000 0.0056
20 0.9677 nan 0.1000 0.0019
40 0.8921 nan 0.1000 0.0006
60 0.8511 nan 0.1000 -0.0002
80 0.8263 nan 0.1000 -0.0012
100 0.8073 nan 0.1000 -0.0005
120 0.7939 nan 0.1000 -0.0001
140 0.7834 nan 0.1000 -0.0004
160 0.7747 nan 0.1000 -0.0006
180 0.7681 nan 0.1000 -0.0005
200 0.7617 nan 0.1000 -0.0002
220 0.7552 nan 0.1000 -0.0008
240 0.7516 nan 0.1000 -0.0010
260 0.7474 nan 0.1000 -0.0009
280 0.7426 nan 0.1000 -0.0009
300 0.7387 nan 0.1000 -0.0005
320 0.7358 nan 0.1000 -0.0006
340 0.7319 nan 0.1000 -0.0016
360 0.7292 nan 0.1000 -0.0011
380 0.7252 nan 0.1000 -0.0008
400 0.7231 nan 0.1000 -0.0009
420 0.7194 nan 0.1000 -0.0006
440 0.7156 nan 0.1000 -0.0003
460 0.7140 nan 0.1000 -0.0008
480 0.7121 nan 0.1000 -0.0011
500 0.7083 nan 0.1000 -0.0006
520 0.7055 nan 0.1000 -0.0011
540 0.7026 nan 0.1000 -0.0007
560 0.6989 nan 0.1000 -0.0006
580 0.6973 nan 0.1000 -0.0010
600 0.6939 nan 0.1000 -0.0006
620 0.6914 nan 0.1000 -0.0006
640 0.6888 nan 0.1000 -0.0006
660 0.6862 nan 0.1000 -0.0005
680 0.6847 nan 0.1000 -0.0005
700 0.6818 nan 0.1000 0.0000
720 0.6800 nan 0.1000 -0.0010
740 0.6796 nan 0.1000 -0.0014
760 0.6787 nan 0.1000 -0.0010
780 0.6753 nan 0.1000 -0.0005
800 0.6743 nan 0.1000 -0.0011
820 0.6724 nan 0.1000 -0.0010
840 0.6694 nan 0.1000 -0.0003
860 0.6681 nan 0.1000 -0.0003
880 0.6668 nan 0.1000 -0.0008
900 0.6648 nan 0.1000 -0.0009
920 0.6628 nan 0.1000 -0.0006
940 0.6611 nan 0.1000 -0.0015
960 0.6599 nan 0.1000 -0.0006
980 0.6592 nan 0.1000 -0.0006
1000 0.6579 nan 0.1000 -0.0012
1020 0.6553 nan 0.1000 -0.0005
1040 0.6546 nan 0.1000 -0.0009
1060 0.6541 nan 0.1000 -0.0010
1080 0.6523 nan 0.1000 -0.0006
1100 0.6500 nan 0.1000 -0.0002
- Fold06.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2594 nan 0.1000 0.0336
2 1.2043 nan 0.1000 0.0270
3 1.1531 nan 0.1000 0.0244
4 1.1177 nan 0.1000 0.0180
5 1.0844 nan 0.1000 0.0166
6 1.0587 nan 0.1000 0.0141
7 1.0384 nan 0.1000 0.0108
8 1.0153 nan 0.1000 0.0101
9 1.0006 nan 0.1000 0.0062
10 0.9823 nan 0.1000 0.0063
20 0.8846 nan 0.1000 0.0019
40 0.8109 nan 0.1000 -0.0003
60 0.7712 nan 0.1000 -0.0002
80 0.7457 nan 0.1000 -0.0010
100 0.7227 nan 0.1000 -0.0022
120 0.7064 nan 0.1000 -0.0004
140 0.6865 nan 0.1000 -0.0001
160 0.6702 nan 0.1000 -0.0009
180 0.6568 nan 0.1000 -0.0011
200 0.6447 nan 0.1000 -0.0009
220 0.6352 nan 0.1000 -0.0011
240 0.6258 nan 0.1000 -0.0008
260 0.6155 nan 0.1000 -0.0010
280 0.6063 nan 0.1000 -0.0008
300 0.5974 nan 0.1000 -0.0004
320 0.5881 nan 0.1000 -0.0007
340 0.5777 nan 0.1000 -0.0011
360 0.5708 nan 0.1000 -0.0020
380 0.5604 nan 0.1000 -0.0006
400 0.5559 nan 0.1000 -0.0010
420 0.5481 nan 0.1000 -0.0010
440 0.5401 nan 0.1000 -0.0008
460 0.5350 nan 0.1000 -0.0007
480 0.5301 nan 0.1000 -0.0015
500 0.5235 nan 0.1000 -0.0004
520 0.5174 nan 0.1000 -0.0025
540 0.5112 nan 0.1000 -0.0006
560 0.5044 nan 0.1000 -0.0009
580 0.4986 nan 0.1000 -0.0014
600 0.4933 nan 0.1000 -0.0006
620 0.4882 nan 0.1000 -0.0006
640 0.4850 nan 0.1000 -0.0007
660 0.4803 nan 0.1000 -0.0007
680 0.4743 nan 0.1000 -0.0008
700 0.4706 nan 0.1000 -0.0009
720 0.4656 nan 0.1000 -0.0014
740 0.4615 nan 0.1000 -0.0015
760 0.4575 nan 0.1000 -0.0007
780 0.4555 nan 0.1000 -0.0011
800 0.4515 nan 0.1000 -0.0008
820 0.4475 nan 0.1000 -0.0007
840 0.4438 nan 0.1000 -0.0008
860 0.4402 nan 0.1000 -0.0008
880 0.4373 nan 0.1000 -0.0015
900 0.4334 nan 0.1000 -0.0008
920 0.4291 nan 0.1000 -0.0011
940 0.4254 nan 0.1000 -0.0004
960 0.4220 nan 0.1000 -0.0008
980 0.4193 nan 0.1000 -0.0008
1000 0.4182 nan 0.1000 -0.0006
1020 0.4163 nan 0.1000 -0.0013
1040 0.4143 nan 0.1000 -0.0011
1060 0.4107 nan 0.1000 -0.0005
1080 0.4091 nan 0.1000 -0.0005
1100 0.4062 nan 0.1000 -0.0006
- Fold06.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2556 nan 0.1000 0.0366
2 1.1916 nan 0.1000 0.0313
3 1.1399 nan 0.1000 0.0231
4 1.0955 nan 0.1000 0.0222
5 1.0561 nan 0.1000 0.0171
6 1.0289 nan 0.1000 0.0130
7 1.0044 nan 0.1000 0.0111
8 0.9803 nan 0.1000 0.0099
9 0.9616 nan 0.1000 0.0061
10 0.9434 nan 0.1000 0.0078
20 0.8499 nan 0.1000 0.0006
40 0.7742 nan 0.1000 0.0001
60 0.7288 nan 0.1000 -0.0005
80 0.6962 nan 0.1000 -0.0018
100 0.6682 nan 0.1000 -0.0011
120 0.6420 nan 0.1000 -0.0017
140 0.6218 nan 0.1000 -0.0012
160 0.6079 nan 0.1000 -0.0011
180 0.5869 nan 0.1000 -0.0012
200 0.5686 nan 0.1000 0.0001
220 0.5538 nan 0.1000 -0.0004
240 0.5373 nan 0.1000 -0.0008
260 0.5259 nan 0.1000 -0.0015
280 0.5148 nan 0.1000 -0.0007
300 0.5018 nan 0.1000 -0.0017
320 0.4896 nan 0.1000 -0.0008
340 0.4784 nan 0.1000 -0.0017
360 0.4695 nan 0.1000 -0.0009
380 0.4627 nan 0.1000 -0.0016
400 0.4553 nan 0.1000 -0.0008
420 0.4425 nan 0.1000 -0.0008
440 0.4342 nan 0.1000 -0.0008
460 0.4266 nan 0.1000 -0.0010
480 0.4187 nan 0.1000 -0.0013
500 0.4132 nan 0.1000 -0.0014
520 0.4067 nan 0.1000 -0.0009
540 0.4011 nan 0.1000 -0.0012
560 0.3950 nan 0.1000 -0.0019
580 0.3911 nan 0.1000 -0.0019
600 0.3843 nan 0.1000 -0.0018
620 0.3777 nan 0.1000 -0.0010
640 0.3722 nan 0.1000 -0.0008
660 0.3659 nan 0.1000 -0.0013
680 0.3587 nan 0.1000 -0.0011
700 0.3549 nan 0.1000 -0.0007
720 0.3513 nan 0.1000 -0.0011
740 0.3466 nan 0.1000 -0.0013
760 0.3437 nan 0.1000 -0.0010
780 0.3388 nan 0.1000 -0.0006
800 0.3355 nan 0.1000 -0.0005
820 0.3312 nan 0.1000 -0.0008
840 0.3265 nan 0.1000 -0.0009
860 0.3221 nan 0.1000 -0.0009
880 0.3197 nan 0.1000 -0.0009
900 0.3172 nan 0.1000 -0.0012
920 0.3124 nan 0.1000 -0.0012
940 0.3096 nan 0.1000 -0.0010
960 0.3046 nan 0.1000 -0.0010
980 0.3011 nan 0.1000 -0.0007
1000 0.2979 nan 0.1000 -0.0010
1020 0.2943 nan 0.1000 -0.0005
1040 0.2895 nan 0.1000 -0.0009
1060 0.2870 nan 0.1000 -0.0008
1080 0.2842 nan 0.1000 -0.0007
1100 0.2825 nan 0.1000 -0.0006
- Fold06.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3257 nan 0.0100 0.0030
2 1.3195 nan 0.0100 0.0029
3 1.3134 nan 0.0100 0.0027
4 1.3086 nan 0.0100 0.0027
5 1.3028 nan 0.0100 0.0028
6 1.2969 nan 0.0100 0.0027
7 1.2911 nan 0.0100 0.0027
8 1.2857 nan 0.0100 0.0026
9 1.2808 nan 0.0100 0.0026
10 1.2755 nan 0.0100 0.0025
20 1.2293 nan 0.0100 0.0019
40 1.1586 nan 0.0100 0.0014
60 1.1106 nan 0.0100 0.0011
80 1.0739 nan 0.0100 0.0008
100 1.0438 nan 0.0100 0.0006
120 1.0196 nan 0.0100 0.0005
140 0.9992 nan 0.0100 0.0004
160 0.9821 nan 0.0100 0.0003
180 0.9670 nan 0.0100 0.0002
200 0.9538 nan 0.0100 0.0002
220 0.9421 nan 0.0100 0.0001
240 0.9316 nan 0.0100 0.0002
260 0.9221 nan 0.0100 0.0002
280 0.9133 nan 0.0100 0.0001
300 0.9053 nan 0.0100 0.0002
320 0.8985 nan 0.0100 0.0000
340 0.8921 nan 0.0100 0.0001
360 0.8863 nan 0.0100 0.0001
380 0.8805 nan 0.0100 0.0000
400 0.8756 nan 0.0100 -0.0000
420 0.8708 nan 0.0100 -0.0001
440 0.8664 nan 0.0100 0.0000
460 0.8621 nan 0.0100 0.0000
480 0.8585 nan 0.0100 0.0000
500 0.8545 nan 0.0100 0.0000
520 0.8508 nan 0.0100 0.0000
540 0.8476 nan 0.0100 0.0000
560 0.8442 nan 0.0100 0.0000
580 0.8411 nan 0.0100 -0.0001
600 0.8382 nan 0.0100 -0.0000
620 0.8355 nan 0.0100 -0.0001
640 0.8327 nan 0.0100 -0.0000
660 0.8299 nan 0.0100 -0.0001
680 0.8273 nan 0.0100 0.0000
700 0.8249 nan 0.0100 0.0000
720 0.8222 nan 0.0100 -0.0000
740 0.8196 nan 0.0100 -0.0000
760 0.8173 nan 0.0100 0.0000
780 0.8151 nan 0.0100 -0.0001
800 0.8128 nan 0.0100 -0.0000
820 0.8109 nan 0.0100 -0.0001
840 0.8087 nan 0.0100 -0.0000
860 0.8067 nan 0.0100 -0.0000
880 0.8050 nan 0.0100 -0.0001
900 0.8032 nan 0.0100 0.0000
920 0.8013 nan 0.0100 -0.0000
940 0.7996 nan 0.0100 -0.0002
960 0.7980 nan 0.0100 -0.0001
980 0.7963 nan 0.0100 -0.0000
1000 0.7949 nan 0.0100 -0.0000
1020 0.7933 nan 0.0100 -0.0001
1040 0.7920 nan 0.0100 -0.0000
1060 0.7908 nan 0.0100 -0.0001
1080 0.7895 nan 0.0100 -0.0000
1100 0.7880 nan 0.0100 -0.0001
- Fold07.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3248 nan 0.0100 0.0038
2 1.3173 nan 0.0100 0.0036
3 1.3103 nan 0.0100 0.0036
4 1.3029 nan 0.0100 0.0035
5 1.2958 nan 0.0100 0.0032
6 1.2887 nan 0.0100 0.0033
7 1.2823 nan 0.0100 0.0030
8 1.2756 nan 0.0100 0.0031
9 1.2697 nan 0.0100 0.0031
10 1.2635 nan 0.0100 0.0033
20 1.2071 nan 0.0100 0.0024
40 1.1191 nan 0.0100 0.0019
60 1.0552 nan 0.0100 0.0012
80 1.0074 nan 0.0100 0.0009
100 0.9708 nan 0.0100 0.0007
120 0.9426 nan 0.0100 0.0006
140 0.9205 nan 0.0100 0.0003
160 0.9027 nan 0.0100 0.0002
180 0.8863 nan 0.0100 0.0002
200 0.8735 nan 0.0100 0.0003
220 0.8617 nan 0.0100 0.0001
240 0.8516 nan 0.0100 0.0001
260 0.8432 nan 0.0100 0.0001
280 0.8347 nan 0.0100 0.0001
300 0.8272 nan 0.0100 0.0001
320 0.8200 nan 0.0100 0.0002
340 0.8141 nan 0.0100 0.0000
360 0.8083 nan 0.0100 0.0000
380 0.8022 nan 0.0100 0.0001
400 0.7971 nan 0.0100 -0.0001
420 0.7927 nan 0.0100 0.0001
440 0.7884 nan 0.0100 -0.0001
460 0.7840 nan 0.0100 -0.0000
480 0.7803 nan 0.0100 -0.0000
500 0.7761 nan 0.0100 0.0001
520 0.7724 nan 0.0100 -0.0000
540 0.7684 nan 0.0100 -0.0000
560 0.7646 nan 0.0100 -0.0001
580 0.7614 nan 0.0100 -0.0001
600 0.7580 nan 0.0100 0.0000
620 0.7552 nan 0.0100 -0.0000
640 0.7521 nan 0.0100 -0.0001
660 0.7491 nan 0.0100 -0.0001
680 0.7463 nan 0.0100 -0.0001
700 0.7435 nan 0.0100 -0.0000
720 0.7410 nan 0.0100 0.0000
740 0.7386 nan 0.0100 -0.0001
760 0.7363 nan 0.0100 -0.0001
780 0.7340 nan 0.0100 -0.0001
800 0.7313 nan 0.0100 -0.0001
820 0.7291 nan 0.0100 -0.0001
840 0.7265 nan 0.0100 -0.0001
860 0.7244 nan 0.0100 -0.0001
880 0.7225 nan 0.0100 -0.0001
900 0.7202 nan 0.0100 -0.0000
920 0.7177 nan 0.0100 -0.0001
940 0.7158 nan 0.0100 -0.0001
960 0.7141 nan 0.0100 -0.0001
980 0.7119 nan 0.0100 -0.0001
1000 0.7097 nan 0.0100 -0.0000
1020 0.7081 nan 0.0100 -0.0001
1040 0.7065 nan 0.0100 -0.0001
1060 0.7044 nan 0.0100 -0.0002
1080 0.7024 nan 0.0100 -0.0001
1100 0.7006 nan 0.0100 -0.0001
- Fold07.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3245 nan 0.0100 0.0039
2 1.3160 nan 0.0100 0.0042
3 1.3085 nan 0.0100 0.0036
4 1.3007 nan 0.0100 0.0035
5 1.2928 nan 0.0100 0.0037
6 1.2858 nan 0.0100 0.0032
7 1.2787 nan 0.0100 0.0035
8 1.2722 nan 0.0100 0.0034
9 1.2654 nan 0.0100 0.0032
10 1.2588 nan 0.0100 0.0031
20 1.1952 nan 0.0100 0.0025
40 1.0985 nan 0.0100 0.0018
60 1.0278 nan 0.0100 0.0014
80 0.9754 nan 0.0100 0.0010
100 0.9376 nan 0.0100 0.0005
120 0.9080 nan 0.0100 0.0004
140 0.8849 nan 0.0100 0.0004
160 0.8673 nan 0.0100 0.0003
180 0.8513 nan 0.0100 0.0003
200 0.8370 nan 0.0100 0.0003
220 0.8242 nan 0.0100 0.0002
240 0.8127 nan 0.0100 -0.0000
260 0.8027 nan 0.0100 0.0001
280 0.7943 nan 0.0100 0.0000
300 0.7866 nan 0.0100 -0.0001
320 0.7794 nan 0.0100 0.0001
340 0.7725 nan 0.0100 -0.0000
360 0.7665 nan 0.0100 -0.0000
380 0.7608 nan 0.0100 0.0000
400 0.7556 nan 0.0100 -0.0000
420 0.7507 nan 0.0100 -0.0001
440 0.7459 nan 0.0100 -0.0001
460 0.7412 nan 0.0100 -0.0001
480 0.7365 nan 0.0100 -0.0001
500 0.7325 nan 0.0100 -0.0001
520 0.7278 nan 0.0100 -0.0000
540 0.7239 nan 0.0100 -0.0001
560 0.7202 nan 0.0100 -0.0001
580 0.7160 nan 0.0100 -0.0000
600 0.7121 nan 0.0100 -0.0001
620 0.7085 nan 0.0100 -0.0000
640 0.7048 nan 0.0100 -0.0001
660 0.7008 nan 0.0100 -0.0002
680 0.6970 nan 0.0100 -0.0000
700 0.6938 nan 0.0100 -0.0001
720 0.6909 nan 0.0100 -0.0001
740 0.6877 nan 0.0100 -0.0002
760 0.6843 nan 0.0100 -0.0000
780 0.6809 nan 0.0100 -0.0002
800 0.6778 nan 0.0100 -0.0000
820 0.6751 nan 0.0100 -0.0002
840 0.6727 nan 0.0100 -0.0001
860 0.6704 nan 0.0100 -0.0001
880 0.6678 nan 0.0100 -0.0001
900 0.6649 nan 0.0100 -0.0002
920 0.6619 nan 0.0100 -0.0000
940 0.6589 nan 0.0100 -0.0002
960 0.6565 nan 0.0100 -0.0001
980 0.6536 nan 0.0100 -0.0001
1000 0.6507 nan 0.0100 -0.0001
1020 0.6482 nan 0.0100 -0.0002
1040 0.6454 nan 0.0100 -0.0000
1060 0.6430 nan 0.0100 -0.0001
1080 0.6408 nan 0.0100 -0.0001
1100 0.6383 nan 0.0100 -0.0001
- Fold07.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2750 nan 0.1000 0.0286
2 1.2267 nan 0.1000 0.0236
3 1.1912 nan 0.1000 0.0189
4 1.1570 nan 0.1000 0.0158
5 1.1324 nan 0.1000 0.0133
6 1.1077 nan 0.1000 0.0110
7 1.0910 nan 0.1000 0.0090
8 1.0756 nan 0.1000 0.0076
9 1.0589 nan 0.1000 0.0069
10 1.0468 nan 0.1000 0.0062
20 0.9499 nan 0.1000 0.0020
40 0.8746 nan 0.1000 -0.0000
60 0.8360 nan 0.1000 -0.0006
80 0.8116 nan 0.1000 -0.0008
100 0.7941 nan 0.1000 -0.0008
120 0.7804 nan 0.1000 -0.0007
140 0.7682 nan 0.1000 -0.0015
160 0.7621 nan 0.1000 -0.0004
180 0.7563 nan 0.1000 -0.0009
200 0.7479 nan 0.1000 -0.0006
220 0.7427 nan 0.1000 -0.0004
240 0.7380 nan 0.1000 -0.0008
260 0.7332 nan 0.1000 -0.0009
280 0.7306 nan 0.1000 -0.0010
300 0.7263 nan 0.1000 -0.0010
320 0.7231 nan 0.1000 -0.0012
340 0.7201 nan 0.1000 -0.0008
360 0.7170 nan 0.1000 -0.0009
380 0.7136 nan 0.1000 -0.0002
400 0.7112 nan 0.1000 -0.0007
420 0.7085 nan 0.1000 -0.0007
440 0.7055 nan 0.1000 -0.0007
460 0.7030 nan 0.1000 -0.0010
480 0.7004 nan 0.1000 -0.0009
500 0.6979 nan 0.1000 -0.0007
520 0.6955 nan 0.1000 -0.0013
540 0.6934 nan 0.1000 -0.0005
560 0.6919 nan 0.1000 -0.0013
580 0.6905 nan 0.1000 -0.0009
600 0.6887 nan 0.1000 -0.0010
620 0.6862 nan 0.1000 -0.0008
640 0.6841 nan 0.1000 -0.0005
660 0.6825 nan 0.1000 -0.0005
680 0.6817 nan 0.1000 -0.0011
700 0.6795 nan 0.1000 -0.0006
720 0.6785 nan 0.1000 -0.0007
740 0.6766 nan 0.1000 -0.0013
760 0.6741 nan 0.1000 -0.0003
780 0.6729 nan 0.1000 -0.0013
800 0.6726 nan 0.1000 -0.0008
820 0.6708 nan 0.1000 -0.0002
840 0.6697 nan 0.1000 -0.0015
860 0.6657 nan 0.1000 -0.0007
880 0.6634 nan 0.1000 -0.0002
900 0.6632 nan 0.1000 -0.0004
920 0.6607 nan 0.1000 -0.0006
940 0.6590 nan 0.1000 -0.0005
960 0.6586 nan 0.1000 -0.0014
980 0.6578 nan 0.1000 -0.0013
1000 0.6562 nan 0.1000 -0.0005
1020 0.6546 nan 0.1000 -0.0006
1040 0.6528 nan 0.1000 -0.0006
1060 0.6516 nan 0.1000 -0.0005
1080 0.6509 nan 0.1000 -0.0012
1100 0.6478 nan 0.1000 -0.0014
- Fold07.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2639 nan 0.1000 0.0328
2 1.2031 nan 0.1000 0.0273
3 1.1577 nan 0.1000 0.0224
4 1.1174 nan 0.1000 0.0214
5 1.0848 nan 0.1000 0.0165
6 1.0563 nan 0.1000 0.0130
7 1.0300 nan 0.1000 0.0116
8 1.0069 nan 0.1000 0.0105
9 0.9879 nan 0.1000 0.0082
10 0.9703 nan 0.1000 0.0065
20 0.8722 nan 0.1000 0.0021
40 0.7988 nan 0.1000 -0.0012
60 0.7612 nan 0.1000 -0.0007
80 0.7349 nan 0.1000 -0.0013
100 0.7134 nan 0.1000 -0.0012
120 0.6932 nan 0.1000 -0.0013
140 0.6794 nan 0.1000 -0.0022
160 0.6683 nan 0.1000 -0.0012
180 0.6539 nan 0.1000 -0.0010
200 0.6408 nan 0.1000 -0.0008
220 0.6307 nan 0.1000 -0.0010
240 0.6207 nan 0.1000 -0.0010
260 0.6099 nan 0.1000 -0.0010
280 0.6016 nan 0.1000 -0.0014
300 0.5934 nan 0.1000 -0.0018
320 0.5840 nan 0.1000 -0.0012
340 0.5760 nan 0.1000 -0.0008
360 0.5697 nan 0.1000 -0.0007
380 0.5620 nan 0.1000 -0.0010
400 0.5541 nan 0.1000 -0.0003
420 0.5476 nan 0.1000 -0.0015
440 0.5436 nan 0.1000 -0.0008
460 0.5361 nan 0.1000 -0.0004
480 0.5306 nan 0.1000 -0.0008
500 0.5252 nan 0.1000 -0.0009
520 0.5197 nan 0.1000 -0.0003
540 0.5135 nan 0.1000 -0.0012
560 0.5082 nan 0.1000 -0.0016
580 0.5017 nan 0.1000 -0.0008
600 0.4971 nan 0.1000 -0.0011
620 0.4925 nan 0.1000 -0.0013
640 0.4863 nan 0.1000 -0.0002
660 0.4815 nan 0.1000 -0.0018
680 0.4781 nan 0.1000 -0.0006
700 0.4734 nan 0.1000 -0.0016
720 0.4683 nan 0.1000 -0.0009
740 0.4630 nan 0.1000 -0.0006
760 0.4606 nan 0.1000 -0.0012
780 0.4568 nan 0.1000 -0.0005
800 0.4545 nan 0.1000 -0.0012
820 0.4502 nan 0.1000 -0.0012
840 0.4478 nan 0.1000 -0.0015
860 0.4447 nan 0.1000 -0.0006
880 0.4401 nan 0.1000 -0.0017
900 0.4352 nan 0.1000 -0.0003
920 0.4318 nan 0.1000 -0.0008
940 0.4292 nan 0.1000 -0.0005
960 0.4265 nan 0.1000 -0.0005
980 0.4233 nan 0.1000 -0.0006
1000 0.4195 nan 0.1000 -0.0005
1020 0.4161 nan 0.1000 -0.0007
1040 0.4138 nan 0.1000 -0.0005
1060 0.4106 nan 0.1000 -0.0006
1080 0.4073 nan 0.1000 -0.0012
1100 0.4032 nan 0.1000 -0.0009
- Fold07.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2553 nan 0.1000 0.0371
2 1.1903 nan 0.1000 0.0286
3 1.1397 nan 0.1000 0.0244
4 1.0965 nan 0.1000 0.0208
5 1.0558 nan 0.1000 0.0165
6 1.0224 nan 0.1000 0.0140
7 0.9956 nan 0.1000 0.0134
8 0.9718 nan 0.1000 0.0096
9 0.9509 nan 0.1000 0.0083
10 0.9333 nan 0.1000 0.0061
20 0.8417 nan 0.1000 0.0017
40 0.7675 nan 0.1000 0.0006
60 0.7170 nan 0.1000 -0.0006
80 0.6893 nan 0.1000 -0.0010
100 0.6613 nan 0.1000 -0.0014
120 0.6429 nan 0.1000 -0.0013
140 0.6242 nan 0.1000 -0.0002
160 0.6034 nan 0.1000 -0.0014
180 0.5913 nan 0.1000 -0.0011
200 0.5775 nan 0.1000 -0.0019
220 0.5618 nan 0.1000 -0.0016
240 0.5504 nan 0.1000 -0.0011
260 0.5328 nan 0.1000 0.0002
280 0.5213 nan 0.1000 -0.0016
300 0.5103 nan 0.1000 -0.0017
320 0.5021 nan 0.1000 -0.0010
340 0.4928 nan 0.1000 -0.0014
360 0.4852 nan 0.1000 -0.0014
380 0.4748 nan 0.1000 -0.0011
400 0.4642 nan 0.1000 -0.0013
420 0.4530 nan 0.1000 -0.0027
440 0.4422 nan 0.1000 -0.0009
460 0.4349 nan 0.1000 -0.0004
480 0.4255 nan 0.1000 -0.0009
500 0.4187 nan 0.1000 -0.0017
520 0.4091 nan 0.1000 -0.0004
540 0.4032 nan 0.1000 -0.0010
560 0.3976 nan 0.1000 -0.0014
580 0.3919 nan 0.1000 -0.0013
600 0.3852 nan 0.1000 -0.0007
620 0.3788 nan 0.1000 -0.0005
640 0.3741 nan 0.1000 -0.0008
660 0.3674 nan 0.1000 -0.0005
680 0.3609 nan 0.1000 -0.0008
700 0.3555 nan 0.1000 -0.0012
720 0.3513 nan 0.1000 -0.0011
740 0.3465 nan 0.1000 -0.0013
760 0.3422 nan 0.1000 -0.0014
780 0.3355 nan 0.1000 -0.0015
800 0.3318 nan 0.1000 -0.0006
820 0.3293 nan 0.1000 -0.0009
840 0.3260 nan 0.1000 -0.0017
860 0.3222 nan 0.1000 -0.0007
880 0.3173 nan 0.1000 -0.0009
900 0.3120 nan 0.1000 -0.0009
920 0.3072 nan 0.1000 -0.0007
940 0.3028 nan 0.1000 -0.0007
960 0.2985 nan 0.1000 -0.0004
980 0.2954 nan 0.1000 -0.0006
1000 0.2909 nan 0.1000 -0.0011
1020 0.2867 nan 0.1000 -0.0007
1040 0.2830 nan 0.1000 -0.0009
1060 0.2801 nan 0.1000 -0.0017
1080 0.2762 nan 0.1000 -0.0006
1100 0.2728 nan 0.1000 -0.0005
- Fold07.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3263 nan 0.0100 0.0028
2 1.3209 nan 0.0100 0.0028
3 1.3154 nan 0.0100 0.0028
4 1.3103 nan 0.0100 0.0027
5 1.3047 nan 0.0100 0.0027
6 1.2995 nan 0.0100 0.0026
7 1.2939 nan 0.0100 0.0026
8 1.2884 nan 0.0100 0.0025
9 1.2835 nan 0.0100 0.0025
10 1.2785 nan 0.0100 0.0024
20 1.2349 nan 0.0100 0.0020
40 1.1678 nan 0.0100 0.0015
60 1.1204 nan 0.0100 0.0009
80 1.0830 nan 0.0100 0.0008
100 1.0527 nan 0.0100 0.0007
120 1.0272 nan 0.0100 0.0005
140 1.0065 nan 0.0100 0.0004
160 0.9882 nan 0.0100 0.0003
180 0.9722 nan 0.0100 0.0003
200 0.9592 nan 0.0100 0.0002
220 0.9472 nan 0.0100 0.0002
240 0.9362 nan 0.0100 0.0002
260 0.9254 nan 0.0100 0.0002
280 0.9163 nan 0.0100 0.0001
300 0.9088 nan 0.0100 0.0000
320 0.9017 nan 0.0100 0.0001
340 0.8953 nan 0.0100 0.0002
360 0.8888 nan 0.0100 0.0000
380 0.8832 nan 0.0100 0.0001
400 0.8778 nan 0.0100 -0.0000
420 0.8728 nan 0.0100 0.0001
440 0.8680 nan 0.0100 0.0001
460 0.8634 nan 0.0100 0.0000
480 0.8589 nan 0.0100 0.0001
500 0.8552 nan 0.0100 0.0000
520 0.8513 nan 0.0100 0.0000
540 0.8478 nan 0.0100 -0.0000
560 0.8446 nan 0.0100 -0.0000
580 0.8415 nan 0.0100 -0.0000
600 0.8386 nan 0.0100 -0.0001
620 0.8355 nan 0.0100 0.0001
640 0.8328 nan 0.0100 -0.0001
660 0.8302 nan 0.0100 -0.0001
680 0.8276 nan 0.0100 -0.0001
700 0.8249 nan 0.0100 0.0000
720 0.8225 nan 0.0100 -0.0000
740 0.8200 nan 0.0100 0.0000
760 0.8176 nan 0.0100 -0.0000
780 0.8152 nan 0.0100 -0.0000
800 0.8131 nan 0.0100 -0.0001
820 0.8111 nan 0.0100 0.0000
840 0.8093 nan 0.0100 -0.0001
860 0.8071 nan 0.0100 -0.0001
880 0.8051 nan 0.0100 0.0000
900 0.8031 nan 0.0100 -0.0000
920 0.8013 nan 0.0100 0.0000
940 0.7997 nan 0.0100 -0.0001
960 0.7983 nan 0.0100 -0.0001
980 0.7969 nan 0.0100 -0.0000
1000 0.7953 nan 0.0100 -0.0000
1020 0.7940 nan 0.0100 -0.0001
1040 0.7924 nan 0.0100 -0.0000
1060 0.7908 nan 0.0100 0.0000
1080 0.7893 nan 0.0100 -0.0001
1100 0.7879 nan 0.0100 -0.0001
- Fold08.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3237 nan 0.0100 0.0038
2 1.3163 nan 0.0100 0.0036
3 1.3090 nan 0.0100 0.0034
4 1.3022 nan 0.0100 0.0033
5 1.2949 nan 0.0100 0.0031
6 1.2882 nan 0.0100 0.0033
7 1.2815 nan 0.0100 0.0030
8 1.2747 nan 0.0100 0.0031
9 1.2685 nan 0.0100 0.0030
10 1.2621 nan 0.0100 0.0030
20 1.2067 nan 0.0100 0.0025
40 1.1192 nan 0.0100 0.0017
60 1.0554 nan 0.0100 0.0013
80 1.0069 nan 0.0100 0.0010
100 0.9695 nan 0.0100 0.0006
120 0.9412 nan 0.0100 0.0005
140 0.9181 nan 0.0100 0.0005
160 0.8997 nan 0.0100 0.0004
180 0.8834 nan 0.0100 0.0002
200 0.8685 nan 0.0100 0.0002
220 0.8565 nan 0.0100 0.0001
240 0.8459 nan 0.0100 0.0000
260 0.8369 nan 0.0100 0.0001
280 0.8286 nan 0.0100 0.0000
300 0.8206 nan 0.0100 0.0001
320 0.8136 nan 0.0100 -0.0000
340 0.8076 nan 0.0100 -0.0001
360 0.8018 nan 0.0100 -0.0000
380 0.7963 nan 0.0100 -0.0000
400 0.7914 nan 0.0100 -0.0000
420 0.7865 nan 0.0100 -0.0000
440 0.7819 nan 0.0100 -0.0001
460 0.7781 nan 0.0100 -0.0001
480 0.7743 nan 0.0100 -0.0000
500 0.7705 nan 0.0100 -0.0000
520 0.7669 nan 0.0100 0.0000
540 0.7639 nan 0.0100 -0.0001
560 0.7604 nan 0.0100 -0.0001
580 0.7566 nan 0.0100 -0.0001
600 0.7529 nan 0.0100 -0.0001
620 0.7500 nan 0.0100 -0.0000
640 0.7473 nan 0.0100 -0.0001
660 0.7447 nan 0.0100 -0.0000
680 0.7424 nan 0.0100 -0.0001
700 0.7398 nan 0.0100 -0.0000
720 0.7369 nan 0.0100 0.0000
740 0.7342 nan 0.0100 -0.0000
760 0.7317 nan 0.0100 -0.0001
780 0.7291 nan 0.0100 -0.0001
800 0.7268 nan 0.0100 -0.0001
820 0.7245 nan 0.0100 -0.0000
840 0.7222 nan 0.0100 -0.0000
860 0.7201 nan 0.0100 -0.0001
880 0.7176 nan 0.0100 -0.0001
900 0.7154 nan 0.0100 -0.0001
920 0.7130 nan 0.0100 -0.0001
940 0.7109 nan 0.0100 -0.0001
960 0.7088 nan 0.0100 -0.0002
980 0.7070 nan 0.0100 -0.0000
1000 0.7052 nan 0.0100 -0.0001
1020 0.7029 nan 0.0100 0.0000
1040 0.7008 nan 0.0100 -0.0000
1060 0.6987 nan 0.0100 -0.0001
1080 0.6968 nan 0.0100 -0.0000
1100 0.6949 nan 0.0100 -0.0002
- Fold08.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3230 nan 0.0100 0.0042
2 1.3153 nan 0.0100 0.0038
3 1.3071 nan 0.0100 0.0036
4 1.2992 nan 0.0100 0.0039
5 1.2918 nan 0.0100 0.0037
6 1.2842 nan 0.0100 0.0035
7 1.2771 nan 0.0100 0.0036
8 1.2708 nan 0.0100 0.0031
9 1.2637 nan 0.0100 0.0033
10 1.2568 nan 0.0100 0.0035
20 1.1934 nan 0.0100 0.0028
40 1.0960 nan 0.0100 0.0020
60 1.0252 nan 0.0100 0.0015
80 0.9723 nan 0.0100 0.0011
100 0.9313 nan 0.0100 0.0007
120 0.9017 nan 0.0100 0.0003
140 0.8769 nan 0.0100 0.0004
160 0.8577 nan 0.0100 0.0003
180 0.8417 nan 0.0100 0.0002
200 0.8272 nan 0.0100 0.0001
220 0.8152 nan 0.0100 0.0001
240 0.8040 nan 0.0100 0.0001
260 0.7947 nan 0.0100 0.0001
280 0.7859 nan 0.0100 0.0000
300 0.7782 nan 0.0100 0.0001
320 0.7716 nan 0.0100 -0.0002
340 0.7650 nan 0.0100 0.0001
360 0.7589 nan 0.0100 0.0001
380 0.7534 nan 0.0100 -0.0001
400 0.7478 nan 0.0100 -0.0001
420 0.7426 nan 0.0100 0.0000
440 0.7379 nan 0.0100 -0.0001
460 0.7331 nan 0.0100 -0.0001
480 0.7284 nan 0.0100 -0.0002
500 0.7238 nan 0.0100 -0.0001
520 0.7190 nan 0.0100 -0.0001
540 0.7146 nan 0.0100 -0.0000
560 0.7104 nan 0.0100 -0.0000
580 0.7065 nan 0.0100 -0.0001
600 0.7025 nan 0.0100 -0.0001
620 0.6986 nan 0.0100 -0.0001
640 0.6949 nan 0.0100 -0.0001
660 0.6917 nan 0.0100 -0.0002
680 0.6880 nan 0.0100 -0.0001
700 0.6846 nan 0.0100 0.0000
720 0.6812 nan 0.0100 -0.0001
740 0.6784 nan 0.0100 -0.0001
760 0.6752 nan 0.0100 -0.0001
780 0.6722 nan 0.0100 -0.0001
800 0.6693 nan 0.0100 -0.0002
820 0.6659 nan 0.0100 -0.0001
840 0.6637 nan 0.0100 -0.0001
860 0.6610 nan 0.0100 -0.0001
880 0.6580 nan 0.0100 -0.0001
900 0.6553 nan 0.0100 0.0000
920 0.6529 nan 0.0100 -0.0001
940 0.6500 nan 0.0100 -0.0000
960 0.6473 nan 0.0100 -0.0002
980 0.6448 nan 0.0100 0.0000
1000 0.6423 nan 0.0100 -0.0001
1020 0.6397 nan 0.0100 -0.0002
1040 0.6372 nan 0.0100 -0.0001
1060 0.6347 nan 0.0100 -0.0001
1080 0.6325 nan 0.0100 -0.0001
1100 0.6306 nan 0.0100 -0.0001
- Fold08.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2717 nan 0.1000 0.0265
2 1.2279 nan 0.1000 0.0228
3 1.1927 nan 0.1000 0.0179
4 1.1635 nan 0.1000 0.0159
5 1.1423 nan 0.1000 0.0073
6 1.1176 nan 0.1000 0.0125
7 1.0978 nan 0.1000 0.0101
8 1.0810 nan 0.1000 0.0086
9 1.0664 nan 0.1000 0.0058
10 1.0528 nan 0.1000 0.0071
20 0.9547 nan 0.1000 0.0035
40 0.8766 nan 0.1000 0.0005
60 0.8383 nan 0.1000 -0.0002
80 0.8145 nan 0.1000 0.0000
100 0.7970 nan 0.1000 -0.0003
120 0.7833 nan 0.1000 0.0001
140 0.7723 nan 0.1000 -0.0009
160 0.7642 nan 0.1000 -0.0005
180 0.7569 nan 0.1000 -0.0010
200 0.7510 nan 0.1000 -0.0006
220 0.7452 nan 0.1000 -0.0007
240 0.7395 nan 0.1000 -0.0010
260 0.7360 nan 0.1000 -0.0013
280 0.7315 nan 0.1000 -0.0004
300 0.7294 nan 0.1000 -0.0016
320 0.7245 nan 0.1000 -0.0001
340 0.7211 nan 0.1000 -0.0006
360 0.7184 nan 0.1000 -0.0006
380 0.7132 nan 0.1000 -0.0001
400 0.7101 nan 0.1000 -0.0015
420 0.7076 nan 0.1000 -0.0004
440 0.7031 nan 0.1000 -0.0005
460 0.7004 nan 0.1000 -0.0008
480 0.6982 nan 0.1000 -0.0007
500 0.6945 nan 0.1000 -0.0015
520 0.6929 nan 0.1000 -0.0012
540 0.6912 nan 0.1000 -0.0009
560 0.6879 nan 0.1000 -0.0003
580 0.6876 nan 0.1000 -0.0005
600 0.6834 nan 0.1000 -0.0010
620 0.6814 nan 0.1000 -0.0004
640 0.6787 nan 0.1000 -0.0009
660 0.6771 nan 0.1000 -0.0006
680 0.6758 nan 0.1000 -0.0002
700 0.6740 nan 0.1000 -0.0010
720 0.6720 nan 0.1000 -0.0005
740 0.6699 nan 0.1000 -0.0007
760 0.6685 nan 0.1000 -0.0014
780 0.6664 nan 0.1000 -0.0009
800 0.6648 nan 0.1000 -0.0002
820 0.6625 nan 0.1000 -0.0005
840 0.6621 nan 0.1000 -0.0001
860 0.6599 nan 0.1000 -0.0004
880 0.6576 nan 0.1000 -0.0010
900 0.6559 nan 0.1000 -0.0008
920 0.6551 nan 0.1000 -0.0007
940 0.6535 nan 0.1000 -0.0015
960 0.6520 nan 0.1000 -0.0012
980 0.6497 nan 0.1000 -0.0006
1000 0.6484 nan 0.1000 -0.0011
1020 0.6467 nan 0.1000 -0.0012
1040 0.6456 nan 0.1000 -0.0009
1060 0.6435 nan 0.1000 -0.0007
1080 0.6426 nan 0.1000 -0.0008
1100 0.6414 nan 0.1000 -0.0007
- Fold08.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2611 nan 0.1000 0.0350
2 1.2077 nan 0.1000 0.0236
3 1.1587 nan 0.1000 0.0258
4 1.1198 nan 0.1000 0.0206
5 1.0859 nan 0.1000 0.0184
6 1.0561 nan 0.1000 0.0134
7 1.0338 nan 0.1000 0.0108
8 1.0096 nan 0.1000 0.0122
9 0.9869 nan 0.1000 0.0096
10 0.9688 nan 0.1000 0.0075
20 0.8697 nan 0.1000 0.0002
40 0.7940 nan 0.1000 -0.0001
60 0.7506 nan 0.1000 -0.0000
80 0.7247 nan 0.1000 -0.0013
100 0.7044 nan 0.1000 -0.0021
120 0.6878 nan 0.1000 -0.0004
140 0.6733 nan 0.1000 -0.0013
160 0.6614 nan 0.1000 -0.0012
180 0.6527 nan 0.1000 -0.0007
200 0.6375 nan 0.1000 -0.0007
220 0.6239 nan 0.1000 -0.0012
240 0.6115 nan 0.1000 -0.0007
260 0.6008 nan 0.1000 -0.0012
280 0.5906 nan 0.1000 -0.0014
300 0.5820 nan 0.1000 -0.0008
320 0.5722 nan 0.1000 -0.0017
340 0.5646 nan 0.1000 -0.0005
360 0.5590 nan 0.1000 -0.0009
380 0.5515 nan 0.1000 -0.0007
400 0.5462 nan 0.1000 -0.0009
420 0.5376 nan 0.1000 -0.0017
440 0.5299 nan 0.1000 -0.0008
460 0.5229 nan 0.1000 -0.0008
480 0.5184 nan 0.1000 -0.0028
500 0.5137 nan 0.1000 -0.0012
520 0.5079 nan 0.1000 -0.0010
540 0.5038 nan 0.1000 -0.0012
560 0.4976 nan 0.1000 -0.0004
580 0.4933 nan 0.1000 -0.0014
600 0.4875 nan 0.1000 -0.0008
620 0.4819 nan 0.1000 -0.0013
640 0.4774 nan 0.1000 -0.0009
660 0.4731 nan 0.1000 -0.0008
680 0.4692 nan 0.1000 -0.0007
700 0.4640 nan 0.1000 -0.0009
720 0.4598 nan 0.1000 -0.0006
740 0.4563 nan 0.1000 -0.0009
760 0.4512 nan 0.1000 -0.0011
780 0.4457 nan 0.1000 -0.0005
800 0.4426 nan 0.1000 -0.0009
820 0.4403 nan 0.1000 -0.0011
840 0.4353 nan 0.1000 -0.0005
860 0.4313 nan 0.1000 -0.0004
880 0.4289 nan 0.1000 -0.0018
900 0.4254 nan 0.1000 -0.0011
920 0.4217 nan 0.1000 -0.0003
940 0.4181 nan 0.1000 -0.0003
960 0.4158 nan 0.1000 -0.0011
980 0.4122 nan 0.1000 -0.0011
1000 0.4077 nan 0.1000 -0.0003
1020 0.4040 nan 0.1000 -0.0011
1040 0.4017 nan 0.1000 -0.0007
1060 0.3978 nan 0.1000 -0.0007
1080 0.3943 nan 0.1000 -0.0006
1100 0.3916 nan 0.1000 -0.0003
- Fold08.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2543 nan 0.1000 0.0362
2 1.1909 nan 0.1000 0.0294
3 1.1407 nan 0.1000 0.0190
4 1.0915 nan 0.1000 0.0219
5 1.0554 nan 0.1000 0.0159
6 1.0205 nan 0.1000 0.0166
7 0.9914 nan 0.1000 0.0116
8 0.9683 nan 0.1000 0.0095
9 0.9453 nan 0.1000 0.0099
10 0.9295 nan 0.1000 0.0059
20 0.8240 nan 0.1000 0.0010
40 0.7450 nan 0.1000 -0.0008
60 0.7024 nan 0.1000 -0.0004
80 0.6708 nan 0.1000 -0.0011
100 0.6411 nan 0.1000 -0.0016
120 0.6205 nan 0.1000 -0.0024
140 0.5999 nan 0.1000 -0.0008
160 0.5847 nan 0.1000 -0.0011
180 0.5682 nan 0.1000 -0.0011
200 0.5547 nan 0.1000 -0.0009
220 0.5390 nan 0.1000 -0.0012
240 0.5272 nan 0.1000 -0.0010
260 0.5140 nan 0.1000 -0.0005
280 0.5008 nan 0.1000 -0.0012
300 0.4866 nan 0.1000 -0.0011
320 0.4771 nan 0.1000 -0.0014
340 0.4647 nan 0.1000 -0.0005
360 0.4563 nan 0.1000 -0.0010
380 0.4475 nan 0.1000 -0.0008
400 0.4390 nan 0.1000 -0.0016
420 0.4312 nan 0.1000 -0.0017
440 0.4238 nan 0.1000 -0.0008
460 0.4162 nan 0.1000 -0.0007
480 0.4040 nan 0.1000 -0.0008
500 0.3962 nan 0.1000 -0.0008
520 0.3864 nan 0.1000 -0.0002
540 0.3806 nan 0.1000 -0.0014
560 0.3720 nan 0.1000 -0.0012
580 0.3650 nan 0.1000 -0.0015
600 0.3589 nan 0.1000 -0.0011
620 0.3551 nan 0.1000 -0.0010
640 0.3492 nan 0.1000 -0.0007
660 0.3439 nan 0.1000 -0.0009
680 0.3383 nan 0.1000 -0.0018
700 0.3329 nan 0.1000 -0.0005
720 0.3289 nan 0.1000 -0.0007
740 0.3248 nan 0.1000 -0.0009
760 0.3206 nan 0.1000 -0.0015
780 0.3153 nan 0.1000 -0.0007
800 0.3107 nan 0.1000 -0.0007
820 0.3069 nan 0.1000 -0.0017
840 0.3019 nan 0.1000 -0.0007
860 0.2957 nan 0.1000 -0.0006
880 0.2920 nan 0.1000 -0.0009
900 0.2880 nan 0.1000 -0.0004
920 0.2837 nan 0.1000 -0.0013
940 0.2793 nan 0.1000 -0.0008
960 0.2748 nan 0.1000 -0.0008
980 0.2720 nan 0.1000 -0.0009
1000 0.2677 nan 0.1000 -0.0008
1020 0.2637 nan 0.1000 -0.0008
1040 0.2608 nan 0.1000 -0.0004
1060 0.2579 nan 0.1000 -0.0011
1080 0.2542 nan 0.1000 -0.0003
1100 0.2496 nan 0.1000 -0.0007
- Fold08.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3253 nan 0.0100 0.0030
2 1.3197 nan 0.0100 0.0028
3 1.3136 nan 0.0100 0.0028
4 1.3083 nan 0.0100 0.0028
5 1.3032 nan 0.0100 0.0026
6 1.2978 nan 0.0100 0.0026
7 1.2925 nan 0.0100 0.0027
8 1.2874 nan 0.0100 0.0026
9 1.2822 nan 0.0100 0.0027
10 1.2767 nan 0.0100 0.0025
20 1.2314 nan 0.0100 0.0021
40 1.1622 nan 0.0100 0.0014
60 1.1122 nan 0.0100 0.0008
80 1.0742 nan 0.0100 0.0007
100 1.0445 nan 0.0100 0.0006
120 1.0211 nan 0.0100 0.0006
140 1.0001 nan 0.0100 0.0004
160 0.9820 nan 0.0100 0.0001
180 0.9665 nan 0.0100 0.0003
200 0.9522 nan 0.0100 0.0002
220 0.9396 nan 0.0100 0.0003
240 0.9285 nan 0.0100 0.0003
260 0.9189 nan 0.0100 0.0003
280 0.9097 nan 0.0100 -0.0000
300 0.9018 nan 0.0100 0.0001
320 0.8946 nan 0.0100 0.0001
340 0.8880 nan 0.0100 0.0001
360 0.8816 nan 0.0100 0.0000
380 0.8760 nan 0.0100 0.0001
400 0.8709 nan 0.0100 -0.0000
420 0.8658 nan 0.0100 0.0000
440 0.8610 nan 0.0100 0.0001
460 0.8563 nan 0.0100 0.0001
480 0.8520 nan 0.0100 0.0000
500 0.8477 nan 0.0100 0.0001
520 0.8440 nan 0.0100 0.0000
540 0.8404 nan 0.0100 -0.0000
560 0.8369 nan 0.0100 0.0000
580 0.8335 nan 0.0100 0.0000
600 0.8303 nan 0.0100 -0.0000
620 0.8273 nan 0.0100 -0.0000
640 0.8247 nan 0.0100 -0.0000
660 0.8219 nan 0.0100 -0.0000
680 0.8192 nan 0.0100 -0.0000
700 0.8169 nan 0.0100 -0.0000
720 0.8145 nan 0.0100 -0.0001
740 0.8122 nan 0.0100 -0.0001
760 0.8098 nan 0.0100 -0.0000
780 0.8076 nan 0.0100 -0.0000
800 0.8058 nan 0.0100 -0.0000
820 0.8035 nan 0.0100 -0.0000
840 0.8015 nan 0.0100 -0.0000
860 0.7995 nan 0.0100 -0.0001
880 0.7975 nan 0.0100 -0.0000
900 0.7959 nan 0.0100 -0.0000
920 0.7943 nan 0.0100 -0.0000
940 0.7924 nan 0.0100 -0.0001
960 0.7907 nan 0.0100 0.0000
980 0.7890 nan 0.0100 -0.0000
1000 0.7875 nan 0.0100 -0.0000
1020 0.7863 nan 0.0100 -0.0001
1040 0.7852 nan 0.0100 -0.0000
1060 0.7836 nan 0.0100 -0.0000
1080 0.7823 nan 0.0100 -0.0000
1100 0.7809 nan 0.0100 -0.0000
- Fold09.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3241 nan 0.0100 0.0035
2 1.3173 nan 0.0100 0.0034
3 1.3101 nan 0.0100 0.0035
4 1.3036 nan 0.0100 0.0033
5 1.2964 nan 0.0100 0.0034
6 1.2894 nan 0.0100 0.0035
7 1.2825 nan 0.0100 0.0031
8 1.2759 nan 0.0100 0.0031
9 1.2700 nan 0.0100 0.0031
10 1.2636 nan 0.0100 0.0030
20 1.2065 nan 0.0100 0.0025
40 1.1163 nan 0.0100 0.0017
60 1.0512 nan 0.0100 0.0013
80 1.0029 nan 0.0100 0.0010
100 0.9651 nan 0.0100 0.0006
120 0.9356 nan 0.0100 0.0006
140 0.9126 nan 0.0100 0.0005
160 0.8933 nan 0.0100 0.0003
180 0.8782 nan 0.0100 0.0003
200 0.8649 nan 0.0100 0.0002
220 0.8528 nan 0.0100 0.0002
240 0.8427 nan 0.0100 0.0001
260 0.8335 nan 0.0100 0.0001
280 0.8252 nan 0.0100 0.0001
300 0.8180 nan 0.0100 0.0000
320 0.8113 nan 0.0100 -0.0001
340 0.8047 nan 0.0100 0.0000
360 0.7990 nan 0.0100 0.0001
380 0.7931 nan 0.0100 0.0000
400 0.7882 nan 0.0100 -0.0001
420 0.7833 nan 0.0100 -0.0000
440 0.7788 nan 0.0100 -0.0001
460 0.7744 nan 0.0100 -0.0000
480 0.7708 nan 0.0100 -0.0000
500 0.7671 nan 0.0100 -0.0001
520 0.7632 nan 0.0100 -0.0000
540 0.7596 nan 0.0100 -0.0001
560 0.7563 nan 0.0100 -0.0001
580 0.7533 nan 0.0100 -0.0000
600 0.7504 nan 0.0100 -0.0002
620 0.7475 nan 0.0100 -0.0002
640 0.7443 nan 0.0100 0.0001
660 0.7413 nan 0.0100 -0.0001
680 0.7385 nan 0.0100 -0.0001
700 0.7358 nan 0.0100 0.0000
720 0.7330 nan 0.0100 -0.0001
740 0.7301 nan 0.0100 -0.0001
760 0.7273 nan 0.0100 -0.0001
780 0.7251 nan 0.0100 -0.0001
800 0.7225 nan 0.0100 -0.0001
820 0.7204 nan 0.0100 0.0000
840 0.7182 nan 0.0100 -0.0001
860 0.7160 nan 0.0100 -0.0001
880 0.7140 nan 0.0100 -0.0001
900 0.7121 nan 0.0100 -0.0001
920 0.7100 nan 0.0100 -0.0000
940 0.7078 nan 0.0100 -0.0001
960 0.7061 nan 0.0100 -0.0001
980 0.7041 nan 0.0100 -0.0001
1000 0.7022 nan 0.0100 0.0000
1020 0.7003 nan 0.0100 -0.0000
1040 0.6985 nan 0.0100 -0.0000
1060 0.6967 nan 0.0100 -0.0001
1080 0.6949 nan 0.0100 -0.0000
1100 0.6929 nan 0.0100 -0.0001
- Fold09.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3231 nan 0.0100 0.0040
2 1.3153 nan 0.0100 0.0039
3 1.3070 nan 0.0100 0.0040
4 1.2991 nan 0.0100 0.0038
5 1.2915 nan 0.0100 0.0035
6 1.2836 nan 0.0100 0.0035
7 1.2756 nan 0.0100 0.0034
8 1.2686 nan 0.0100 0.0036
9 1.2618 nan 0.0100 0.0031
10 1.2547 nan 0.0100 0.0032
20 1.1930 nan 0.0100 0.0028
40 1.0951 nan 0.0100 0.0019
60 1.0258 nan 0.0100 0.0014
80 0.9739 nan 0.0100 0.0011
100 0.9330 nan 0.0100 0.0007
120 0.9017 nan 0.0100 0.0006
140 0.8781 nan 0.0100 0.0003
160 0.8591 nan 0.0100 0.0002
180 0.8436 nan 0.0100 0.0002
200 0.8296 nan 0.0100 0.0001
220 0.8173 nan 0.0100 0.0001
240 0.8069 nan 0.0100 0.0001
260 0.7968 nan 0.0100 0.0001
280 0.7883 nan 0.0100 0.0001
300 0.7811 nan 0.0100 0.0000
320 0.7740 nan 0.0100 -0.0000
340 0.7665 nan 0.0100 0.0000
360 0.7598 nan 0.0100 -0.0000
380 0.7543 nan 0.0100 0.0000
400 0.7484 nan 0.0100 -0.0000
420 0.7433 nan 0.0100 0.0000
440 0.7385 nan 0.0100 -0.0000
460 0.7335 nan 0.0100 -0.0001
480 0.7289 nan 0.0100 -0.0001
500 0.7244 nan 0.0100 -0.0000
520 0.7200 nan 0.0100 -0.0000
540 0.7160 nan 0.0100 -0.0001
560 0.7115 nan 0.0100 -0.0002
580 0.7080 nan 0.0100 -0.0001
600 0.7039 nan 0.0100 -0.0001
620 0.7001 nan 0.0100 -0.0001
640 0.6959 nan 0.0100 -0.0001
660 0.6921 nan 0.0100 -0.0002
680 0.6887 nan 0.0100 -0.0001
700 0.6856 nan 0.0100 -0.0002
720 0.6816 nan 0.0100 -0.0002
740 0.6784 nan 0.0100 -0.0001
760 0.6754 nan 0.0100 -0.0001
780 0.6723 nan 0.0100 -0.0001
800 0.6684 nan 0.0100 -0.0001
820 0.6653 nan 0.0100 -0.0001
840 0.6621 nan 0.0100 -0.0002
860 0.6594 nan 0.0100 -0.0003
880 0.6568 nan 0.0100 -0.0001
900 0.6538 nan 0.0100 -0.0001
920 0.6509 nan 0.0100 0.0000
940 0.6483 nan 0.0100 -0.0001
960 0.6457 nan 0.0100 -0.0001
980 0.6430 nan 0.0100 -0.0001
1000 0.6405 nan 0.0100 -0.0001
1020 0.6382 nan 0.0100 -0.0002
1040 0.6362 nan 0.0100 -0.0001
1060 0.6332 nan 0.0100 -0.0001
1080 0.6312 nan 0.0100 -0.0001
1100 0.6285 nan 0.0100 -0.0001
- Fold09.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2696 nan 0.1000 0.0285
2 1.2226 nan 0.1000 0.0218
3 1.1837 nan 0.1000 0.0181
4 1.1503 nan 0.1000 0.0153
5 1.1228 nan 0.1000 0.0119
6 1.1015 nan 0.1000 0.0096
7 1.0840 nan 0.1000 0.0069
8 1.0656 nan 0.1000 0.0082
9 1.0511 nan 0.1000 0.0069
10 1.0367 nan 0.1000 0.0063
20 0.9457 nan 0.1000 0.0019
40 0.8640 nan 0.1000 0.0010
60 0.8296 nan 0.1000 -0.0000
80 0.8039 nan 0.1000 0.0001
100 0.7882 nan 0.1000 -0.0001
120 0.7758 nan 0.1000 -0.0006
140 0.7664 nan 0.1000 -0.0009
160 0.7602 nan 0.1000 -0.0006
180 0.7519 nan 0.1000 -0.0014
200 0.7436 nan 0.1000 -0.0003
220 0.7385 nan 0.1000 -0.0002
240 0.7333 nan 0.1000 -0.0004
260 0.7286 nan 0.1000 -0.0012
280 0.7237 nan 0.1000 -0.0014
300 0.7191 nan 0.1000 -0.0006
320 0.7150 nan 0.1000 -0.0004
340 0.7112 nan 0.1000 -0.0007
360 0.7082 nan 0.1000 -0.0010
380 0.7046 nan 0.1000 -0.0010
400 0.7007 nan 0.1000 -0.0002
420 0.6978 nan 0.1000 -0.0010
440 0.6957 nan 0.1000 -0.0006
460 0.6925 nan 0.1000 -0.0003
480 0.6910 nan 0.1000 -0.0005
500 0.6887 nan 0.1000 -0.0004
520 0.6870 nan 0.1000 -0.0008
540 0.6846 nan 0.1000 -0.0006
560 0.6823 nan 0.1000 -0.0006
580 0.6803 nan 0.1000 -0.0005
600 0.6792 nan 0.1000 -0.0009
620 0.6778 nan 0.1000 -0.0003
640 0.6769 nan 0.1000 -0.0008
660 0.6744 nan 0.1000 -0.0005
680 0.6714 nan 0.1000 -0.0003
700 0.6686 nan 0.1000 -0.0008
720 0.6670 nan 0.1000 -0.0006
740 0.6671 nan 0.1000 -0.0003
760 0.6648 nan 0.1000 -0.0006
780 0.6637 nan 0.1000 -0.0009
800 0.6622 nan 0.1000 -0.0005
820 0.6597 nan 0.1000 -0.0005
840 0.6586 nan 0.1000 -0.0008
860 0.6575 nan 0.1000 -0.0004
880 0.6555 nan 0.1000 -0.0011
900 0.6540 nan 0.1000 -0.0014
920 0.6529 nan 0.1000 -0.0009
940 0.6512 nan 0.1000 -0.0007
960 0.6490 nan 0.1000 -0.0007
980 0.6480 nan 0.1000 -0.0007
1000 0.6462 nan 0.1000 -0.0013
1020 0.6448 nan 0.1000 -0.0008
1040 0.6427 nan 0.1000 -0.0012
1060 0.6424 nan 0.1000 -0.0009
1080 0.6416 nan 0.1000 -0.0009
1100 0.6402 nan 0.1000 -0.0006
- Fold09.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2580 nan 0.1000 0.0372
2 1.1998 nan 0.1000 0.0264
3 1.1530 nan 0.1000 0.0232
4 1.1130 nan 0.1000 0.0208
5 1.0736 nan 0.1000 0.0178
6 1.0433 nan 0.1000 0.0147
7 1.0167 nan 0.1000 0.0100
8 0.9983 nan 0.1000 0.0084
9 0.9785 nan 0.1000 0.0091
10 0.9645 nan 0.1000 0.0061
20 0.8637 nan 0.1000 0.0023
40 0.7858 nan 0.1000 0.0001
60 0.7531 nan 0.1000 -0.0007
80 0.7224 nan 0.1000 -0.0002
100 0.6995 nan 0.1000 -0.0013
120 0.6830 nan 0.1000 -0.0009
140 0.6653 nan 0.1000 -0.0005
160 0.6458 nan 0.1000 -0.0005
180 0.6282 nan 0.1000 -0.0009
200 0.6161 nan 0.1000 -0.0009
220 0.6064 nan 0.1000 -0.0006
240 0.5973 nan 0.1000 -0.0007
260 0.5863 nan 0.1000 -0.0009
280 0.5786 nan 0.1000 -0.0015
300 0.5717 nan 0.1000 -0.0004
320 0.5627 nan 0.1000 -0.0026
340 0.5568 nan 0.1000 -0.0014
360 0.5503 nan 0.1000 -0.0008
380 0.5437 nan 0.1000 -0.0012
400 0.5366 nan 0.1000 -0.0013
420 0.5313 nan 0.1000 -0.0014
440 0.5267 nan 0.1000 -0.0009
460 0.5207 nan 0.1000 -0.0007
480 0.5128 nan 0.1000 -0.0008
500 0.5054 nan 0.1000 -0.0003
520 0.5011 nan 0.1000 -0.0006
540 0.4957 nan 0.1000 -0.0009
560 0.4909 nan 0.1000 -0.0016
580 0.4865 nan 0.1000 -0.0008
600 0.4812 nan 0.1000 -0.0009
620 0.4746 nan 0.1000 -0.0008
640 0.4719 nan 0.1000 -0.0008
660 0.4682 nan 0.1000 -0.0013
680 0.4647 nan 0.1000 -0.0007
700 0.4595 nan 0.1000 -0.0011
720 0.4556 nan 0.1000 -0.0010
740 0.4517 nan 0.1000 -0.0009
760 0.4485 nan 0.1000 -0.0013
780 0.4451 nan 0.1000 -0.0007
800 0.4418 nan 0.1000 -0.0004
820 0.4373 nan 0.1000 -0.0005
840 0.4333 nan 0.1000 -0.0011
860 0.4299 nan 0.1000 -0.0015
880 0.4249 nan 0.1000 -0.0002
900 0.4211 nan 0.1000 -0.0013
920 0.4181 nan 0.1000 -0.0004
940 0.4143 nan 0.1000 -0.0011
960 0.4117 nan 0.1000 -0.0013
980 0.4082 nan 0.1000 -0.0013
1000 0.4042 nan 0.1000 -0.0006
1020 0.3998 nan 0.1000 -0.0013
1040 0.3970 nan 0.1000 -0.0008
1060 0.3932 nan 0.1000 -0.0012
1080 0.3905 nan 0.1000 -0.0012
1100 0.3886 nan 0.1000 -0.0007
- Fold09.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2566 nan 0.1000 0.0366
2 1.1935 nan 0.1000 0.0312
3 1.1366 nan 0.1000 0.0255
4 1.0906 nan 0.1000 0.0207
5 1.0526 nan 0.1000 0.0177
6 1.0216 nan 0.1000 0.0160
7 0.9932 nan 0.1000 0.0114
8 0.9667 nan 0.1000 0.0118
9 0.9425 nan 0.1000 0.0113
10 0.9236 nan 0.1000 0.0094
20 0.8311 nan 0.1000 0.0013
40 0.7459 nan 0.1000 0.0005
60 0.6984 nan 0.1000 -0.0004
80 0.6648 nan 0.1000 -0.0015
100 0.6423 nan 0.1000 -0.0012
120 0.6157 nan 0.1000 -0.0018
140 0.5907 nan 0.1000 -0.0009
160 0.5685 nan 0.1000 -0.0005
180 0.5518 nan 0.1000 -0.0010
200 0.5393 nan 0.1000 -0.0010
220 0.5291 nan 0.1000 -0.0012
240 0.5173 nan 0.1000 -0.0012
260 0.5050 nan 0.1000 -0.0012
280 0.4945 nan 0.1000 -0.0014
300 0.4837 nan 0.1000 -0.0008
320 0.4719 nan 0.1000 -0.0015
340 0.4621 nan 0.1000 -0.0016
360 0.4508 nan 0.1000 -0.0013
380 0.4388 nan 0.1000 -0.0007
400 0.4299 nan 0.1000 -0.0012
420 0.4222 nan 0.1000 -0.0016
440 0.4138 nan 0.1000 -0.0011
460 0.4083 nan 0.1000 -0.0007
480 0.3995 nan 0.1000 -0.0004
500 0.3926 nan 0.1000 -0.0013
520 0.3847 nan 0.1000 -0.0009
540 0.3785 nan 0.1000 -0.0016
560 0.3728 nan 0.1000 -0.0004
580 0.3674 nan 0.1000 -0.0025
600 0.3634 nan 0.1000 -0.0010
620 0.3559 nan 0.1000 -0.0006
640 0.3506 nan 0.1000 -0.0006
660 0.3456 nan 0.1000 -0.0010
680 0.3409 nan 0.1000 -0.0013
700 0.3349 nan 0.1000 -0.0009
720 0.3289 nan 0.1000 -0.0011
740 0.3249 nan 0.1000 -0.0014
760 0.3190 nan 0.1000 -0.0010
780 0.3151 nan 0.1000 -0.0012
800 0.3101 nan 0.1000 -0.0008
820 0.3044 nan 0.1000 -0.0009
840 0.2993 nan 0.1000 -0.0006
860 0.2934 nan 0.1000 -0.0006
880 0.2887 nan 0.1000 -0.0005
900 0.2843 nan 0.1000 -0.0012
920 0.2805 nan 0.1000 -0.0010
940 0.2757 nan 0.1000 -0.0010
960 0.2723 nan 0.1000 -0.0004
980 0.2689 nan 0.1000 -0.0010
1000 0.2662 nan 0.1000 -0.0013
1020 0.2645 nan 0.1000 -0.0014
1040 0.2615 nan 0.1000 -0.0009
1060 0.2581 nan 0.1000 -0.0010
1080 0.2559 nan 0.1000 -0.0004
1100 0.2547 nan 0.1000 -0.0010
- Fold09.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3254 nan 0.0100 0.0031
2 1.3190 nan 0.0100 0.0030
3 1.3130 nan 0.0100 0.0032
4 1.3071 nan 0.0100 0.0030
5 1.3016 nan 0.0100 0.0028
6 1.2954 nan 0.0100 0.0029
7 1.2895 nan 0.0100 0.0027
8 1.2838 nan 0.0100 0.0027
9 1.2781 nan 0.0100 0.0026
10 1.2730 nan 0.0100 0.0026
20 1.2264 nan 0.0100 0.0021
40 1.1554 nan 0.0100 0.0015
60 1.1042 nan 0.0100 0.0011
80 1.0670 nan 0.0100 0.0007
100 1.0364 nan 0.0100 0.0006
120 1.0118 nan 0.0100 0.0005
140 0.9913 nan 0.0100 0.0003
160 0.9740 nan 0.0100 0.0003
180 0.9591 nan 0.0100 0.0003
200 0.9463 nan 0.0100 0.0002
220 0.9349 nan 0.0100 0.0002
240 0.9250 nan 0.0100 0.0001
260 0.9153 nan 0.0100 0.0001
280 0.9071 nan 0.0100 0.0001
300 0.8995 nan 0.0100 0.0001
320 0.8926 nan 0.0100 0.0001
340 0.8865 nan 0.0100 0.0001
360 0.8804 nan 0.0100 0.0000
380 0.8750 nan 0.0100 0.0000
400 0.8705 nan 0.0100 0.0001
420 0.8658 nan 0.0100 0.0000
440 0.8613 nan 0.0100 0.0001
460 0.8572 nan 0.0100 0.0000
480 0.8535 nan 0.0100 -0.0001
500 0.8496 nan 0.0100 -0.0000
520 0.8460 nan 0.0100 -0.0000
540 0.8425 nan 0.0100 0.0000
560 0.8395 nan 0.0100 -0.0000
580 0.8364 nan 0.0100 0.0000
600 0.8334 nan 0.0100 0.0000
620 0.8306 nan 0.0100 -0.0000
640 0.8283 nan 0.0100 0.0000
660 0.8256 nan 0.0100 0.0000
680 0.8231 nan 0.0100 -0.0001
700 0.8207 nan 0.0100 0.0000
720 0.8184 nan 0.0100 -0.0000
740 0.8161 nan 0.0100 -0.0001
760 0.8139 nan 0.0100 -0.0000
780 0.8117 nan 0.0100 0.0000
800 0.8095 nan 0.0100 -0.0001
820 0.8076 nan 0.0100 -0.0000
840 0.8056 nan 0.0100 -0.0000
860 0.8040 nan 0.0100 -0.0000
880 0.8023 nan 0.0100 -0.0000
900 0.8006 nan 0.0100 -0.0000
920 0.7988 nan 0.0100 -0.0001
940 0.7970 nan 0.0100 -0.0000
960 0.7955 nan 0.0100 -0.0001
980 0.7940 nan 0.0100 -0.0000
1000 0.7924 nan 0.0100 -0.0000
1020 0.7909 nan 0.0100 -0.0000
1040 0.7894 nan 0.0100 -0.0001
1060 0.7881 nan 0.0100 -0.0001
1080 0.7867 nan 0.0100 -0.0000
1100 0.7855 nan 0.0100 -0.0000
- Fold10.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3244 nan 0.0100 0.0038
2 1.3169 nan 0.0100 0.0037
3 1.3092 nan 0.0100 0.0036
4 1.3023 nan 0.0100 0.0033
5 1.2955 nan 0.0100 0.0034
6 1.2885 nan 0.0100 0.0034
7 1.2817 nan 0.0100 0.0036
8 1.2752 nan 0.0100 0.0032
9 1.2683 nan 0.0100 0.0030
10 1.2621 nan 0.0100 0.0032
20 1.2041 nan 0.0100 0.0025
40 1.1145 nan 0.0100 0.0017
60 1.0504 nan 0.0100 0.0011
80 1.0007 nan 0.0100 0.0010
100 0.9622 nan 0.0100 0.0007
120 0.9326 nan 0.0100 0.0003
140 0.9097 nan 0.0100 0.0003
160 0.8916 nan 0.0100 0.0002
180 0.8774 nan 0.0100 0.0000
200 0.8649 nan 0.0100 0.0000
220 0.8538 nan 0.0100 0.0001
240 0.8438 nan 0.0100 0.0001
260 0.8347 nan 0.0100 0.0001
280 0.8269 nan 0.0100 0.0000
300 0.8190 nan 0.0100 -0.0000
320 0.8126 nan 0.0100 0.0000
340 0.8064 nan 0.0100 -0.0000
360 0.8005 nan 0.0100 0.0001
380 0.7960 nan 0.0100 0.0000
400 0.7914 nan 0.0100 -0.0000
420 0.7872 nan 0.0100 -0.0000
440 0.7829 nan 0.0100 -0.0001
460 0.7788 nan 0.0100 0.0000
480 0.7745 nan 0.0100 0.0000
500 0.7705 nan 0.0100 -0.0000
520 0.7661 nan 0.0100 0.0000
540 0.7624 nan 0.0100 -0.0001
560 0.7590 nan 0.0100 -0.0001
580 0.7557 nan 0.0100 0.0000
600 0.7528 nan 0.0100 -0.0000
620 0.7497 nan 0.0100 -0.0001
640 0.7470 nan 0.0100 -0.0001
660 0.7441 nan 0.0100 -0.0001
680 0.7413 nan 0.0100 -0.0000
700 0.7386 nan 0.0100 -0.0001
720 0.7363 nan 0.0100 -0.0001
740 0.7334 nan 0.0100 -0.0000
760 0.7305 nan 0.0100 -0.0002
780 0.7278 nan 0.0100 -0.0000
800 0.7253 nan 0.0100 -0.0000
820 0.7230 nan 0.0100 -0.0001
840 0.7207 nan 0.0100 -0.0001
860 0.7184 nan 0.0100 -0.0000
880 0.7163 nan 0.0100 -0.0002
900 0.7141 nan 0.0100 -0.0001
920 0.7117 nan 0.0100 -0.0001
940 0.7095 nan 0.0100 -0.0001
960 0.7078 nan 0.0100 -0.0002
980 0.7055 nan 0.0100 -0.0001
1000 0.7038 nan 0.0100 -0.0001
1020 0.7020 nan 0.0100 -0.0000
1040 0.7002 nan 0.0100 -0.0001
1060 0.6982 nan 0.0100 -0.0000
1080 0.6965 nan 0.0100 0.0000
1100 0.6943 nan 0.0100 -0.0001
- Fold10.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3233 nan 0.0100 0.0041
2 1.3148 nan 0.0100 0.0038
3 1.3070 nan 0.0100 0.0036
4 1.2989 nan 0.0100 0.0037
5 1.2912 nan 0.0100 0.0040
6 1.2835 nan 0.0100 0.0038
7 1.2760 nan 0.0100 0.0035
8 1.2685 nan 0.0100 0.0035
9 1.2615 nan 0.0100 0.0034
10 1.2547 nan 0.0100 0.0032
20 1.1915 nan 0.0100 0.0030
40 1.0950 nan 0.0100 0.0019
60 1.0242 nan 0.0100 0.0015
80 0.9720 nan 0.0100 0.0011
100 0.9323 nan 0.0100 0.0009
120 0.9025 nan 0.0100 0.0006
140 0.8777 nan 0.0100 0.0004
160 0.8586 nan 0.0100 0.0001
180 0.8423 nan 0.0100 0.0003
200 0.8277 nan 0.0100 0.0001
220 0.8164 nan 0.0100 0.0002
240 0.8066 nan 0.0100 0.0001
260 0.7970 nan 0.0100 0.0001
280 0.7881 nan 0.0100 0.0001
300 0.7802 nan 0.0100 0.0000
320 0.7730 nan 0.0100 0.0000
340 0.7657 nan 0.0100 -0.0000
360 0.7594 nan 0.0100 -0.0000
380 0.7538 nan 0.0100 0.0001
400 0.7487 nan 0.0100 -0.0001
420 0.7437 nan 0.0100 -0.0001
440 0.7390 nan 0.0100 -0.0000
460 0.7341 nan 0.0100 -0.0001
480 0.7291 nan 0.0100 -0.0001
500 0.7247 nan 0.0100 -0.0001
520 0.7205 nan 0.0100 -0.0001
540 0.7170 nan 0.0100 -0.0001
560 0.7135 nan 0.0100 -0.0002
580 0.7097 nan 0.0100 -0.0001
600 0.7062 nan 0.0100 -0.0001
620 0.7025 nan 0.0100 -0.0001
640 0.6989 nan 0.0100 -0.0001
660 0.6962 nan 0.0100 -0.0001
680 0.6930 nan 0.0100 -0.0001
700 0.6895 nan 0.0100 -0.0002
720 0.6864 nan 0.0100 -0.0000
740 0.6831 nan 0.0100 -0.0002
760 0.6800 nan 0.0100 -0.0001
780 0.6775 nan 0.0100 -0.0000
800 0.6746 nan 0.0100 -0.0001
820 0.6714 nan 0.0100 -0.0001
840 0.6686 nan 0.0100 -0.0001
860 0.6659 nan 0.0100 -0.0001
880 0.6629 nan 0.0100 -0.0002
900 0.6600 nan 0.0100 -0.0001
920 0.6575 nan 0.0100 -0.0000
940 0.6545 nan 0.0100 -0.0001
960 0.6516 nan 0.0100 -0.0001
980 0.6491 nan 0.0100 -0.0001
1000 0.6471 nan 0.0100 -0.0001
1020 0.6445 nan 0.0100 -0.0001
1040 0.6421 nan 0.0100 -0.0002
1060 0.6395 nan 0.0100 -0.0001
1080 0.6374 nan 0.0100 -0.0001
1100 0.6349 nan 0.0100 -0.0001
- Fold10.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2763 nan 0.1000 0.0297
2 1.2289 nan 0.1000 0.0251
3 1.1877 nan 0.1000 0.0203
4 1.1511 nan 0.1000 0.0163
5 1.1208 nan 0.1000 0.0133
6 1.0997 nan 0.1000 0.0111
7 1.0819 nan 0.1000 0.0066
8 1.0674 nan 0.1000 0.0065
9 1.0477 nan 0.1000 0.0085
10 1.0331 nan 0.1000 0.0072
20 0.9397 nan 0.1000 0.0020
40 0.8674 nan 0.1000 0.0010
60 0.8317 nan 0.1000 -0.0004
80 0.8113 nan 0.1000 -0.0002
100 0.7934 nan 0.1000 0.0001
120 0.7784 nan 0.1000 -0.0007
140 0.7657 nan 0.1000 -0.0007
160 0.7575 nan 0.1000 -0.0007
180 0.7510 nan 0.1000 -0.0010
200 0.7434 nan 0.1000 -0.0000
220 0.7377 nan 0.1000 -0.0005
240 0.7335 nan 0.1000 -0.0009
260 0.7293 nan 0.1000 -0.0011
280 0.7251 nan 0.1000 -0.0008
300 0.7207 nan 0.1000 -0.0017
320 0.7165 nan 0.1000 -0.0004
340 0.7112 nan 0.1000 -0.0006
360 0.7084 nan 0.1000 -0.0007
380 0.7049 nan 0.1000 -0.0006
400 0.7020 nan 0.1000 -0.0006
420 0.6986 nan 0.1000 -0.0007
440 0.6962 nan 0.1000 -0.0007
460 0.6927 nan 0.1000 -0.0009
480 0.6917 nan 0.1000 -0.0010
500 0.6891 nan 0.1000 -0.0009
520 0.6860 nan 0.1000 -0.0003
540 0.6830 nan 0.1000 -0.0007
560 0.6804 nan 0.1000 -0.0014
580 0.6783 nan 0.1000 -0.0009
600 0.6750 nan 0.1000 -0.0011
620 0.6740 nan 0.1000 -0.0003
640 0.6712 nan 0.1000 -0.0013
660 0.6696 nan 0.1000 -0.0004
680 0.6688 nan 0.1000 -0.0013
700 0.6679 nan 0.1000 -0.0008
720 0.6643 nan 0.1000 -0.0005
740 0.6620 nan 0.1000 -0.0006
760 0.6602 nan 0.1000 -0.0013
780 0.6588 nan 0.1000 -0.0002
800 0.6571 nan 0.1000 -0.0018
820 0.6559 nan 0.1000 -0.0007
840 0.6537 nan 0.1000 -0.0005
860 0.6516 nan 0.1000 -0.0005
880 0.6494 nan 0.1000 -0.0004
900 0.6483 nan 0.1000 -0.0007
920 0.6478 nan 0.1000 -0.0012
940 0.6454 nan 0.1000 -0.0005
960 0.6437 nan 0.1000 -0.0011
980 0.6415 nan 0.1000 -0.0009
1000 0.6395 nan 0.1000 -0.0005
1020 0.6371 nan 0.1000 -0.0005
1040 0.6358 nan 0.1000 -0.0004
1060 0.6348 nan 0.1000 -0.0004
1080 0.6336 nan 0.1000 -0.0013
1100 0.6316 nan 0.1000 -0.0014
- Fold10.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2651 nan 0.1000 0.0386
2 1.2053 nan 0.1000 0.0307
3 1.1551 nan 0.1000 0.0250
4 1.1105 nan 0.1000 0.0197
5 1.0745 nan 0.1000 0.0173
6 1.0458 nan 0.1000 0.0130
7 1.0203 nan 0.1000 0.0114
8 0.9973 nan 0.1000 0.0116
9 0.9773 nan 0.1000 0.0080
10 0.9620 nan 0.1000 0.0072
20 0.8625 nan 0.1000 0.0006
40 0.7907 nan 0.1000 0.0000
60 0.7547 nan 0.1000 -0.0006
80 0.7289 nan 0.1000 -0.0004
100 0.7114 nan 0.1000 -0.0012
120 0.6932 nan 0.1000 -0.0016
140 0.6778 nan 0.1000 -0.0015
160 0.6623 nan 0.1000 -0.0008
180 0.6486 nan 0.1000 -0.0010
200 0.6358 nan 0.1000 -0.0008
220 0.6222 nan 0.1000 -0.0015
240 0.6104 nan 0.1000 -0.0006
260 0.6020 nan 0.1000 -0.0004
280 0.5917 nan 0.1000 -0.0017
300 0.5818 nan 0.1000 -0.0005
320 0.5713 nan 0.1000 -0.0008
340 0.5634 nan 0.1000 -0.0008
360 0.5560 nan 0.1000 -0.0002
380 0.5518 nan 0.1000 -0.0007
400 0.5447 nan 0.1000 -0.0013
420 0.5389 nan 0.1000 -0.0002
440 0.5307 nan 0.1000 -0.0009
460 0.5239 nan 0.1000 -0.0009
480 0.5169 nan 0.1000 -0.0011
500 0.5118 nan 0.1000 -0.0012
520 0.5066 nan 0.1000 -0.0010
540 0.5010 nan 0.1000 -0.0009
560 0.4947 nan 0.1000 -0.0010
580 0.4887 nan 0.1000 -0.0009
600 0.4825 nan 0.1000 -0.0007
620 0.4784 nan 0.1000 -0.0008
640 0.4732 nan 0.1000 -0.0013
660 0.4690 nan 0.1000 -0.0009
680 0.4636 nan 0.1000 -0.0009
700 0.4584 nan 0.1000 -0.0005
720 0.4540 nan 0.1000 -0.0007
740 0.4509 nan 0.1000 -0.0004
760 0.4471 nan 0.1000 -0.0010
780 0.4445 nan 0.1000 -0.0015
800 0.4401 nan 0.1000 -0.0007
820 0.4371 nan 0.1000 -0.0007
840 0.4329 nan 0.1000 -0.0008
860 0.4300 nan 0.1000 -0.0017
880 0.4267 nan 0.1000 -0.0005
900 0.4234 nan 0.1000 -0.0012
920 0.4191 nan 0.1000 -0.0007
940 0.4158 nan 0.1000 -0.0010
960 0.4131 nan 0.1000 -0.0008
980 0.4102 nan 0.1000 -0.0008
1000 0.4070 nan 0.1000 -0.0007
1020 0.4021 nan 0.1000 -0.0005
1040 0.3984 nan 0.1000 -0.0006
1060 0.3939 nan 0.1000 -0.0007
1080 0.3907 nan 0.1000 -0.0012
1100 0.3883 nan 0.1000 -0.0009
- Fold10.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2520 nan 0.1000 0.0367
2 1.1895 nan 0.1000 0.0327
3 1.1401 nan 0.1000 0.0237
4 1.0953 nan 0.1000 0.0204
5 1.0566 nan 0.1000 0.0179
6 1.0246 nan 0.1000 0.0159
7 0.9913 nan 0.1000 0.0150
8 0.9663 nan 0.1000 0.0127
9 0.9454 nan 0.1000 0.0093
10 0.9269 nan 0.1000 0.0068
20 0.8270 nan 0.1000 0.0015
40 0.7490 nan 0.1000 -0.0000
60 0.7047 nan 0.1000 -0.0010
80 0.6669 nan 0.1000 -0.0004
100 0.6418 nan 0.1000 -0.0012
120 0.6233 nan 0.1000 -0.0017
140 0.6026 nan 0.1000 -0.0020
160 0.5836 nan 0.1000 -0.0010
180 0.5664 nan 0.1000 -0.0010
200 0.5501 nan 0.1000 -0.0012
220 0.5382 nan 0.1000 -0.0011
240 0.5249 nan 0.1000 -0.0012
260 0.5119 nan 0.1000 -0.0018
280 0.5040 nan 0.1000 -0.0008
300 0.4903 nan 0.1000 -0.0008
320 0.4811 nan 0.1000 -0.0005
340 0.4721 nan 0.1000 -0.0013
360 0.4628 nan 0.1000 -0.0013
380 0.4528 nan 0.1000 -0.0006
400 0.4443 nan 0.1000 -0.0014
420 0.4392 nan 0.1000 -0.0006
440 0.4315 nan 0.1000 -0.0020
460 0.4244 nan 0.1000 -0.0011
480 0.4166 nan 0.1000 -0.0012
500 0.4104 nan 0.1000 -0.0007
520 0.4055 nan 0.1000 -0.0012
540 0.3994 nan 0.1000 -0.0005
560 0.3944 nan 0.1000 -0.0015
580 0.3863 nan 0.1000 -0.0006
600 0.3798 nan 0.1000 -0.0006
620 0.3717 nan 0.1000 -0.0017
640 0.3641 nan 0.1000 -0.0007
660 0.3577 nan 0.1000 -0.0006
680 0.3511 nan 0.1000 -0.0010
700 0.3474 nan 0.1000 -0.0005
720 0.3419 nan 0.1000 -0.0006
740 0.3368 nan 0.1000 -0.0005
760 0.3325 nan 0.1000 -0.0005
780 0.3278 nan 0.1000 -0.0008
800 0.3220 nan 0.1000 -0.0005
820 0.3167 nan 0.1000 -0.0009
840 0.3123 nan 0.1000 -0.0013
860 0.3076 nan 0.1000 -0.0009
880 0.3046 nan 0.1000 -0.0007
900 0.3009 nan 0.1000 -0.0010
920 0.2972 nan 0.1000 -0.0009
940 0.2942 nan 0.1000 -0.0010
960 0.2888 nan 0.1000 -0.0008
980 0.2858 nan 0.1000 -0.0013
1000 0.2833 nan 0.1000 -0.0003
1020 0.2799 nan 0.1000 -0.0010
1040 0.2747 nan 0.1000 -0.0003
1060 0.2710 nan 0.1000 -0.0005
1080 0.2675 nan 0.1000 -0.0006
1100 0.2640 nan 0.1000 -0.0008
- Fold10.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3258 nan 0.0100 0.0029
2 1.3203 nan 0.0100 0.0029
3 1.3142 nan 0.0100 0.0029
4 1.3081 nan 0.0100 0.0028
5 1.3022 nan 0.0100 0.0027
6 1.2966 nan 0.0100 0.0026
7 1.2912 nan 0.0100 0.0026
8 1.2858 nan 0.0100 0.0026
9 1.2808 nan 0.0100 0.0026
10 1.2756 nan 0.0100 0.0025
20 1.2293 nan 0.0100 0.0020
40 1.1601 nan 0.0100 0.0014
60 1.1106 nan 0.0100 0.0010
80 1.0728 nan 0.0100 0.0008
100 1.0425 nan 0.0100 0.0007
120 1.0183 nan 0.0100 0.0003
140 0.9969 nan 0.0100 0.0004
160 0.9786 nan 0.0100 0.0004
180 0.9629 nan 0.0100 0.0002
200 0.9496 nan 0.0100 0.0002
220 0.9376 nan 0.0100 0.0002
240 0.9270 nan 0.0100 0.0002
260 0.9172 nan 0.0100 0.0001
280 0.9093 nan 0.0100 0.0001
300 0.9011 nan 0.0100 0.0001
320 0.8940 nan 0.0100 0.0001
340 0.8866 nan 0.0100 0.0001
360 0.8806 nan 0.0100 0.0002
380 0.8748 nan 0.0100 0.0001
400 0.8694 nan 0.0100 0.0001
420 0.8643 nan 0.0100 -0.0001
440 0.8592 nan 0.0100 0.0000
460 0.8550 nan 0.0100 0.0001
480 0.8506 nan 0.0100 0.0001
500 0.8468 nan 0.0100 0.0001
520 0.8431 nan 0.0100 0.0000
540 0.8393 nan 0.0100 0.0000
560 0.8357 nan 0.0100 0.0000
580 0.8322 nan 0.0100 0.0000
600 0.8290 nan 0.0100 0.0000
620 0.8257 nan 0.0100 0.0000
640 0.8227 nan 0.0100 0.0000
660 0.8202 nan 0.0100 -0.0001
680 0.8176 nan 0.0100 -0.0000
700 0.8149 nan 0.0100 -0.0001
720 0.8123 nan 0.0100 -0.0000
740 0.8099 nan 0.0100 -0.0000
760 0.8078 nan 0.0100 -0.0000
780 0.8058 nan 0.0100 -0.0000
800 0.8034 nan 0.0100 -0.0001
820 0.8012 nan 0.0100 0.0000
840 0.7990 nan 0.0100 -0.0000
860 0.7969 nan 0.0100 -0.0000
880 0.7950 nan 0.0100 -0.0000
900 0.7932 nan 0.0100 -0.0001
920 0.7913 nan 0.0100 -0.0000
940 0.7896 nan 0.0100 -0.0000
960 0.7878 nan 0.0100 -0.0000
980 0.7863 nan 0.0100 -0.0001
1000 0.7846 nan 0.0100 -0.0000
1020 0.7830 nan 0.0100 -0.0000
1040 0.7815 nan 0.0100 -0.0000
1060 0.7800 nan 0.0100 -0.0001
1080 0.7784 nan 0.0100 -0.0000
1100 0.7768 nan 0.0100 -0.0001
- Fold01.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3244 nan 0.0100 0.0036
2 1.3163 nan 0.0100 0.0036
3 1.3092 nan 0.0100 0.0035
4 1.3018 nan 0.0100 0.0037
5 1.2949 nan 0.0100 0.0035
6 1.2878 nan 0.0100 0.0035
7 1.2814 nan 0.0100 0.0035
8 1.2752 nan 0.0100 0.0029
9 1.2684 nan 0.0100 0.0033
10 1.2619 nan 0.0100 0.0031
20 1.2040 nan 0.0100 0.0026
40 1.1149 nan 0.0100 0.0019
60 1.0496 nan 0.0100 0.0013
80 1.0006 nan 0.0100 0.0010
100 0.9630 nan 0.0100 0.0008
120 0.9330 nan 0.0100 0.0006
140 0.9091 nan 0.0100 0.0004
160 0.8907 nan 0.0100 0.0002
180 0.8736 nan 0.0100 0.0002
200 0.8593 nan 0.0100 0.0002
220 0.8475 nan 0.0100 0.0001
240 0.8371 nan 0.0100 0.0002
260 0.8284 nan 0.0100 0.0000
280 0.8203 nan 0.0100 0.0000
300 0.8124 nan 0.0100 0.0001
320 0.8051 nan 0.0100 0.0001
340 0.7986 nan 0.0100 0.0000
360 0.7921 nan 0.0100 0.0000
380 0.7859 nan 0.0100 0.0002
400 0.7805 nan 0.0100 0.0000
420 0.7757 nan 0.0100 -0.0001
440 0.7709 nan 0.0100 0.0000
460 0.7663 nan 0.0100 0.0001
480 0.7622 nan 0.0100 -0.0001
500 0.7582 nan 0.0100 -0.0001
520 0.7548 nan 0.0100 0.0001
540 0.7511 nan 0.0100 -0.0000
560 0.7480 nan 0.0100 -0.0000
580 0.7450 nan 0.0100 -0.0000
600 0.7418 nan 0.0100 -0.0000
620 0.7385 nan 0.0100 -0.0000
640 0.7354 nan 0.0100 0.0000
660 0.7323 nan 0.0100 -0.0001
680 0.7299 nan 0.0100 -0.0001
700 0.7270 nan 0.0100 -0.0000
720 0.7243 nan 0.0100 -0.0000
740 0.7218 nan 0.0100 -0.0001
760 0.7193 nan 0.0100 0.0000
780 0.7169 nan 0.0100 -0.0001
800 0.7146 nan 0.0100 -0.0000
820 0.7122 nan 0.0100 -0.0000
840 0.7100 nan 0.0100 -0.0001
860 0.7077 nan 0.0100 -0.0001
880 0.7054 nan 0.0100 -0.0001
900 0.7033 nan 0.0100 -0.0002
920 0.7011 nan 0.0100 -0.0001
940 0.6989 nan 0.0100 -0.0001
960 0.6968 nan 0.0100 0.0000
980 0.6947 nan 0.0100 -0.0001
1000 0.6929 nan 0.0100 -0.0000
1020 0.6913 nan 0.0100 -0.0000
1040 0.6894 nan 0.0100 -0.0001
1060 0.6877 nan 0.0100 -0.0001
1080 0.6858 nan 0.0100 -0.0001
1100 0.6843 nan 0.0100 -0.0002
- Fold01.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3238 nan 0.0100 0.0038
2 1.3157 nan 0.0100 0.0037
3 1.3074 nan 0.0100 0.0040
4 1.3000 nan 0.0100 0.0036
5 1.2925 nan 0.0100 0.0039
6 1.2848 nan 0.0100 0.0035
7 1.2773 nan 0.0100 0.0037
8 1.2702 nan 0.0100 0.0035
9 1.2625 nan 0.0100 0.0035
10 1.2554 nan 0.0100 0.0035
20 1.1921 nan 0.0100 0.0028
40 1.0919 nan 0.0100 0.0021
60 1.0202 nan 0.0100 0.0015
80 0.9677 nan 0.0100 0.0007
100 0.9265 nan 0.0100 0.0009
120 0.8957 nan 0.0100 0.0006
140 0.8707 nan 0.0100 0.0005
160 0.8501 nan 0.0100 0.0005
180 0.8343 nan 0.0100 0.0002
200 0.8206 nan 0.0100 0.0003
220 0.8080 nan 0.0100 0.0001
240 0.7977 nan 0.0100 0.0001
260 0.7867 nan 0.0100 0.0001
280 0.7767 nan 0.0100 0.0000
300 0.7685 nan 0.0100 0.0001
320 0.7610 nan 0.0100 0.0001
340 0.7537 nan 0.0100 0.0000
360 0.7476 nan 0.0100 -0.0002
380 0.7415 nan 0.0100 -0.0001
400 0.7360 nan 0.0100 -0.0000
420 0.7299 nan 0.0100 -0.0001
440 0.7244 nan 0.0100 -0.0001
460 0.7196 nan 0.0100 0.0000
480 0.7153 nan 0.0100 -0.0002
500 0.7107 nan 0.0100 -0.0000
520 0.7062 nan 0.0100 -0.0000
540 0.7019 nan 0.0100 -0.0001
560 0.6982 nan 0.0100 -0.0000
580 0.6948 nan 0.0100 -0.0001
600 0.6911 nan 0.0100 -0.0003
620 0.6875 nan 0.0100 0.0000
640 0.6839 nan 0.0100 -0.0000
660 0.6805 nan 0.0100 -0.0000
680 0.6776 nan 0.0100 -0.0000
700 0.6746 nan 0.0100 -0.0001
720 0.6714 nan 0.0100 -0.0001
740 0.6685 nan 0.0100 -0.0000
760 0.6652 nan 0.0100 -0.0002
780 0.6616 nan 0.0100 -0.0000
800 0.6591 nan 0.0100 -0.0000
820 0.6564 nan 0.0100 -0.0000
840 0.6536 nan 0.0100 -0.0001
860 0.6507 nan 0.0100 -0.0001
880 0.6480 nan 0.0100 -0.0002
900 0.6455 nan 0.0100 0.0000
920 0.6428 nan 0.0100 0.0000
940 0.6398 nan 0.0100 -0.0001
960 0.6372 nan 0.0100 -0.0001
980 0.6345 nan 0.0100 -0.0001
1000 0.6316 nan 0.0100 -0.0001
1020 0.6289 nan 0.0100 -0.0001
1040 0.6261 nan 0.0100 -0.0001
1060 0.6239 nan 0.0100 -0.0002
1080 0.6214 nan 0.0100 -0.0001
1100 0.6190 nan 0.0100 -0.0001
- Fold01.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2709 nan 0.1000 0.0277
2 1.2237 nan 0.1000 0.0234
3 1.1882 nan 0.1000 0.0191
4 1.1583 nan 0.1000 0.0161
5 1.1354 nan 0.1000 0.0129
6 1.1094 nan 0.1000 0.0112
7 1.0900 nan 0.1000 0.0087
8 1.0754 nan 0.1000 0.0066
9 1.0557 nan 0.1000 0.0085
10 1.0410 nan 0.1000 0.0071
20 0.9473 nan 0.1000 0.0028
40 0.8703 nan 0.1000 0.0004
60 0.8289 nan 0.1000 -0.0004
80 0.8040 nan 0.1000 0.0001
100 0.7845 nan 0.1000 -0.0015
120 0.7711 nan 0.1000 -0.0002
140 0.7585 nan 0.1000 -0.0000
160 0.7511 nan 0.1000 -0.0004
180 0.7432 nan 0.1000 -0.0008
200 0.7367 nan 0.1000 -0.0005
220 0.7307 nan 0.1000 -0.0012
240 0.7263 nan 0.1000 -0.0010
260 0.7213 nan 0.1000 -0.0013
280 0.7166 nan 0.1000 -0.0005
300 0.7131 nan 0.1000 -0.0009
320 0.7087 nan 0.1000 -0.0012
340 0.7046 nan 0.1000 -0.0010
360 0.6994 nan 0.1000 -0.0004
380 0.6965 nan 0.1000 -0.0004
400 0.6926 nan 0.1000 -0.0011
420 0.6890 nan 0.1000 -0.0007
440 0.6867 nan 0.1000 -0.0009
460 0.6843 nan 0.1000 -0.0017
480 0.6808 nan 0.1000 -0.0004
500 0.6792 nan 0.1000 -0.0006
520 0.6763 nan 0.1000 -0.0007
540 0.6742 nan 0.1000 -0.0009
560 0.6726 nan 0.1000 -0.0005
580 0.6701 nan 0.1000 -0.0005
600 0.6687 nan 0.1000 -0.0012
620 0.6665 nan 0.1000 -0.0010
640 0.6646 nan 0.1000 -0.0005
660 0.6617 nan 0.1000 -0.0010
680 0.6596 nan 0.1000 -0.0004
700 0.6580 nan 0.1000 -0.0003
720 0.6575 nan 0.1000 -0.0007
740 0.6563 nan 0.1000 -0.0011
760 0.6539 nan 0.1000 -0.0015
780 0.6522 nan 0.1000 -0.0008
800 0.6513 nan 0.1000 -0.0006
820 0.6477 nan 0.1000 -0.0007
840 0.6459 nan 0.1000 -0.0001
860 0.6442 nan 0.1000 -0.0008
880 0.6427 nan 0.1000 -0.0007
900 0.6425 nan 0.1000 -0.0008
920 0.6414 nan 0.1000 -0.0009
940 0.6405 nan 0.1000 -0.0007
960 0.6382 nan 0.1000 -0.0002
980 0.6369 nan 0.1000 -0.0013
1000 0.6349 nan 0.1000 -0.0014
1020 0.6321 nan 0.1000 -0.0008
1040 0.6302 nan 0.1000 -0.0007
1060 0.6289 nan 0.1000 -0.0002
1080 0.6269 nan 0.1000 -0.0008
1100 0.6252 nan 0.1000 -0.0012
- Fold01.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2591 nan 0.1000 0.0361
2 1.1981 nan 0.1000 0.0280
3 1.1441 nan 0.1000 0.0240
4 1.1081 nan 0.1000 0.0209
5 1.0707 nan 0.1000 0.0167
6 1.0402 nan 0.1000 0.0136
7 1.0143 nan 0.1000 0.0119
8 0.9922 nan 0.1000 0.0105
9 0.9712 nan 0.1000 0.0099
10 0.9543 nan 0.1000 0.0086
20 0.8567 nan 0.1000 0.0013
40 0.7774 nan 0.1000 0.0017
60 0.7406 nan 0.1000 0.0002
80 0.7116 nan 0.1000 -0.0013
100 0.6897 nan 0.1000 -0.0009
120 0.6723 nan 0.1000 -0.0006
140 0.6566 nan 0.1000 -0.0024
160 0.6414 nan 0.1000 -0.0009
180 0.6306 nan 0.1000 -0.0014
200 0.6199 nan 0.1000 -0.0006
220 0.6091 nan 0.1000 -0.0009
240 0.6017 nan 0.1000 -0.0011
260 0.5936 nan 0.1000 -0.0008
280 0.5829 nan 0.1000 -0.0012
300 0.5732 nan 0.1000 -0.0015
320 0.5634 nan 0.1000 -0.0006
340 0.5584 nan 0.1000 -0.0008
360 0.5518 nan 0.1000 -0.0007
380 0.5446 nan 0.1000 -0.0014
400 0.5374 nan 0.1000 -0.0006
420 0.5318 nan 0.1000 -0.0010
440 0.5270 nan 0.1000 -0.0012
460 0.5194 nan 0.1000 -0.0007
480 0.5136 nan 0.1000 -0.0010
500 0.5056 nan 0.1000 -0.0008
520 0.4978 nan 0.1000 -0.0010
540 0.4929 nan 0.1000 -0.0010
560 0.4854 nan 0.1000 -0.0010
580 0.4795 nan 0.1000 -0.0009
600 0.4751 nan 0.1000 -0.0009
620 0.4709 nan 0.1000 -0.0003
640 0.4658 nan 0.1000 -0.0014
660 0.4616 nan 0.1000 -0.0010
680 0.4583 nan 0.1000 -0.0017
700 0.4536 nan 0.1000 -0.0010
720 0.4491 nan 0.1000 -0.0004
740 0.4445 nan 0.1000 -0.0009
760 0.4395 nan 0.1000 -0.0008
780 0.4351 nan 0.1000 -0.0015
800 0.4304 nan 0.1000 -0.0006
820 0.4267 nan 0.1000 -0.0008
840 0.4241 nan 0.1000 -0.0009
860 0.4206 nan 0.1000 -0.0012
880 0.4166 nan 0.1000 -0.0013
900 0.4128 nan 0.1000 -0.0012
920 0.4087 nan 0.1000 -0.0009
940 0.4059 nan 0.1000 -0.0010
960 0.4023 nan 0.1000 -0.0009
980 0.4011 nan 0.1000 -0.0004
1000 0.3980 nan 0.1000 -0.0008
1020 0.3935 nan 0.1000 -0.0010
1040 0.3910 nan 0.1000 -0.0009
1060 0.3879 nan 0.1000 -0.0008
1080 0.3845 nan 0.1000 -0.0006
1100 0.3799 nan 0.1000 -0.0009
- Fold01.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2556 nan 0.1000 0.0393
2 1.1935 nan 0.1000 0.0310
3 1.1336 nan 0.1000 0.0268
4 1.0860 nan 0.1000 0.0203
5 1.0488 nan 0.1000 0.0171
6 1.0163 nan 0.1000 0.0165
7 0.9888 nan 0.1000 0.0097
8 0.9635 nan 0.1000 0.0117
9 0.9404 nan 0.1000 0.0088
10 0.9221 nan 0.1000 0.0073
20 0.8160 nan 0.1000 0.0001
40 0.7383 nan 0.1000 -0.0003
60 0.6944 nan 0.1000 -0.0006
80 0.6635 nan 0.1000 -0.0006
100 0.6380 nan 0.1000 -0.0005
120 0.6130 nan 0.1000 -0.0007
140 0.5914 nan 0.1000 -0.0024
160 0.5763 nan 0.1000 -0.0014
180 0.5585 nan 0.1000 -0.0012
200 0.5426 nan 0.1000 -0.0015
220 0.5280 nan 0.1000 -0.0019
240 0.5133 nan 0.1000 -0.0011
260 0.5034 nan 0.1000 -0.0008
280 0.4911 nan 0.1000 -0.0012
300 0.4789 nan 0.1000 -0.0009
320 0.4682 nan 0.1000 -0.0012
340 0.4604 nan 0.1000 -0.0009
360 0.4485 nan 0.1000 -0.0013
380 0.4383 nan 0.1000 -0.0011
400 0.4317 nan 0.1000 -0.0009
420 0.4216 nan 0.1000 -0.0018
440 0.4131 nan 0.1000 -0.0006
460 0.4055 nan 0.1000 -0.0013
480 0.3978 nan 0.1000 -0.0011
500 0.3916 nan 0.1000 -0.0011
520 0.3845 nan 0.1000 -0.0009
540 0.3795 nan 0.1000 -0.0015
560 0.3718 nan 0.1000 -0.0007
580 0.3653 nan 0.1000 -0.0017
600 0.3599 nan 0.1000 -0.0010
620 0.3534 nan 0.1000 -0.0008
640 0.3474 nan 0.1000 -0.0003
660 0.3427 nan 0.1000 -0.0011
680 0.3370 nan 0.1000 -0.0006
700 0.3325 nan 0.1000 -0.0010
720 0.3285 nan 0.1000 -0.0004
740 0.3228 nan 0.1000 -0.0003
760 0.3176 nan 0.1000 -0.0004
780 0.3147 nan 0.1000 -0.0011
800 0.3110 nan 0.1000 -0.0022
820 0.3063 nan 0.1000 -0.0007
840 0.3018 nan 0.1000 -0.0009
860 0.2977 nan 0.1000 -0.0006
880 0.2946 nan 0.1000 -0.0013
900 0.2908 nan 0.1000 -0.0010
920 0.2864 nan 0.1000 -0.0011
940 0.2827 nan 0.1000 -0.0004
960 0.2798 nan 0.1000 -0.0007
980 0.2752 nan 0.1000 -0.0010
1000 0.2717 nan 0.1000 -0.0013
1020 0.2689 nan 0.1000 -0.0012
1040 0.2646 nan 0.1000 -0.0019
1060 0.2610 nan 0.1000 -0.0005
1080 0.2578 nan 0.1000 -0.0005
1100 0.2549 nan 0.1000 -0.0008
- Fold01.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3258 nan 0.0100 0.0031
2 1.3199 nan 0.0100 0.0031
3 1.3138 nan 0.0100 0.0030
4 1.3082 nan 0.0100 0.0029
5 1.3033 nan 0.0100 0.0028
6 1.2972 nan 0.0100 0.0027
7 1.2916 nan 0.0100 0.0028
8 1.2857 nan 0.0100 0.0026
9 1.2808 nan 0.0100 0.0026
10 1.2753 nan 0.0100 0.0025
20 1.2281 nan 0.0100 0.0021
40 1.1544 nan 0.0100 0.0015
60 1.1038 nan 0.0100 0.0010
80 1.0664 nan 0.0100 0.0006
100 1.0353 nan 0.0100 0.0006
120 1.0100 nan 0.0100 0.0005
140 0.9895 nan 0.0100 0.0004
160 0.9716 nan 0.0100 0.0002
180 0.9561 nan 0.0100 0.0003
200 0.9432 nan 0.0100 0.0002
220 0.9318 nan 0.0100 0.0002
240 0.9215 nan 0.0100 0.0001
260 0.9124 nan 0.0100 0.0000
280 0.9043 nan 0.0100 0.0001
300 0.8964 nan 0.0100 0.0001
320 0.8899 nan 0.0100 0.0001
340 0.8836 nan 0.0100 0.0001
360 0.8776 nan 0.0100 -0.0000
380 0.8722 nan 0.0100 0.0000
400 0.8670 nan 0.0100 0.0000
420 0.8619 nan 0.0100 0.0000
440 0.8571 nan 0.0100 0.0000
460 0.8530 nan 0.0100 0.0001
480 0.8489 nan 0.0100 -0.0000
500 0.8452 nan 0.0100 0.0001
520 0.8416 nan 0.0100 -0.0001
540 0.8379 nan 0.0100 -0.0000
560 0.8343 nan 0.0100 0.0000
580 0.8312 nan 0.0100 0.0000
600 0.8284 nan 0.0100 -0.0001
620 0.8259 nan 0.0100 -0.0000
640 0.8231 nan 0.0100 -0.0001
660 0.8204 nan 0.0100 -0.0000
680 0.8182 nan 0.0100 -0.0000
700 0.8156 nan 0.0100 0.0000
720 0.8131 nan 0.0100 -0.0001
740 0.8111 nan 0.0100 -0.0000
760 0.8090 nan 0.0100 -0.0000
780 0.8069 nan 0.0100 -0.0000
800 0.8049 nan 0.0100 -0.0000
820 0.8029 nan 0.0100 -0.0000
840 0.8010 nan 0.0100 -0.0001
860 0.7991 nan 0.0100 -0.0000
880 0.7973 nan 0.0100 -0.0000
900 0.7957 nan 0.0100 -0.0000
920 0.7942 nan 0.0100 -0.0001
940 0.7925 nan 0.0100 -0.0001
960 0.7910 nan 0.0100 -0.0001
980 0.7895 nan 0.0100 -0.0001
1000 0.7881 nan 0.0100 -0.0001
1020 0.7865 nan 0.0100 -0.0000
1040 0.7851 nan 0.0100 -0.0001
1060 0.7839 nan 0.0100 -0.0000
1080 0.7824 nan 0.0100 -0.0000
1100 0.7808 nan 0.0100 -0.0000
- Fold02.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3249 nan 0.0100 0.0037
2 1.3171 nan 0.0100 0.0033
3 1.3098 nan 0.0100 0.0035
4 1.3027 nan 0.0100 0.0036
5 1.2954 nan 0.0100 0.0035
6 1.2888 nan 0.0100 0.0031
7 1.2823 nan 0.0100 0.0030
8 1.2754 nan 0.0100 0.0031
9 1.2686 nan 0.0100 0.0031
10 1.2623 nan 0.0100 0.0031
20 1.2041 nan 0.0100 0.0024
40 1.1145 nan 0.0100 0.0019
60 1.0508 nan 0.0100 0.0013
80 1.0027 nan 0.0100 0.0010
100 0.9656 nan 0.0100 0.0007
120 0.9367 nan 0.0100 0.0006
140 0.9124 nan 0.0100 0.0003
160 0.8932 nan 0.0100 0.0003
180 0.8781 nan 0.0100 0.0003
200 0.8648 nan 0.0100 0.0002
220 0.8533 nan 0.0100 0.0001
240 0.8431 nan 0.0100 0.0002
260 0.8338 nan 0.0100 -0.0001
280 0.8261 nan 0.0100 0.0001
300 0.8192 nan 0.0100 0.0000
320 0.8116 nan 0.0100 0.0001
340 0.8049 nan 0.0100 -0.0000
360 0.7990 nan 0.0100 0.0001
380 0.7937 nan 0.0100 -0.0000
400 0.7881 nan 0.0100 -0.0001
420 0.7827 nan 0.0100 -0.0001
440 0.7785 nan 0.0100 -0.0001
460 0.7735 nan 0.0100 -0.0000
480 0.7701 nan 0.0100 -0.0001
500 0.7658 nan 0.0100 0.0000
520 0.7622 nan 0.0100 -0.0001
540 0.7585 nan 0.0100 -0.0001
560 0.7553 nan 0.0100 -0.0001
580 0.7517 nan 0.0100 0.0000
600 0.7488 nan 0.0100 -0.0000
620 0.7456 nan 0.0100 -0.0000
640 0.7428 nan 0.0100 -0.0001
660 0.7401 nan 0.0100 -0.0000
680 0.7373 nan 0.0100 -0.0001
700 0.7345 nan 0.0100 -0.0001
720 0.7318 nan 0.0100 -0.0001
740 0.7294 nan 0.0100 -0.0000
760 0.7267 nan 0.0100 -0.0001
780 0.7245 nan 0.0100 -0.0001
800 0.7221 nan 0.0100 -0.0001
820 0.7198 nan 0.0100 -0.0000
840 0.7174 nan 0.0100 0.0000
860 0.7150 nan 0.0100 -0.0001
880 0.7130 nan 0.0100 -0.0001
900 0.7108 nan 0.0100 -0.0000
920 0.7086 nan 0.0100 0.0000
940 0.7060 nan 0.0100 -0.0001
960 0.7041 nan 0.0100 -0.0002
980 0.7021 nan 0.0100 -0.0001
1000 0.7001 nan 0.0100 -0.0001
1020 0.6982 nan 0.0100 -0.0001
1040 0.6963 nan 0.0100 -0.0001
1060 0.6944 nan 0.0100 -0.0002
1080 0.6921 nan 0.0100 -0.0001
1100 0.6898 nan 0.0100 -0.0001
- Fold02.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3234 nan 0.0100 0.0040
2 1.3153 nan 0.0100 0.0037
3 1.3076 nan 0.0100 0.0034
4 1.2997 nan 0.0100 0.0040
5 1.2919 nan 0.0100 0.0034
6 1.2841 nan 0.0100 0.0037
7 1.2767 nan 0.0100 0.0037
8 1.2693 nan 0.0100 0.0036
9 1.2624 nan 0.0100 0.0034
10 1.2558 nan 0.0100 0.0034
20 1.1922 nan 0.0100 0.0029
40 1.0955 nan 0.0100 0.0017
60 1.0240 nan 0.0100 0.0015
80 0.9713 nan 0.0100 0.0009
100 0.9309 nan 0.0100 0.0008
120 0.8998 nan 0.0100 0.0006
140 0.8752 nan 0.0100 0.0004
160 0.8556 nan 0.0100 0.0002
180 0.8390 nan 0.0100 0.0003
200 0.8250 nan 0.0100 0.0001
220 0.8124 nan 0.0100 0.0001
240 0.8013 nan 0.0100 0.0001
260 0.7924 nan 0.0100 0.0000
280 0.7839 nan 0.0100 0.0001
300 0.7759 nan 0.0100 0.0001
320 0.7689 nan 0.0100 0.0001
340 0.7622 nan 0.0100 -0.0000
360 0.7561 nan 0.0100 -0.0001
380 0.7502 nan 0.0100 -0.0000
400 0.7449 nan 0.0100 -0.0001
420 0.7398 nan 0.0100 -0.0002
440 0.7348 nan 0.0100 -0.0000
460 0.7297 nan 0.0100 -0.0000
480 0.7247 nan 0.0100 -0.0001
500 0.7207 nan 0.0100 -0.0001
520 0.7169 nan 0.0100 -0.0001
540 0.7128 nan 0.0100 -0.0002
560 0.7089 nan 0.0100 -0.0001
580 0.7055 nan 0.0100 -0.0002
600 0.7016 nan 0.0100 -0.0000
620 0.6978 nan 0.0100 -0.0001
640 0.6942 nan 0.0100 -0.0000
660 0.6906 nan 0.0100 -0.0001
680 0.6869 nan 0.0100 0.0000
700 0.6836 nan 0.0100 -0.0000
720 0.6805 nan 0.0100 -0.0002
740 0.6770 nan 0.0100 -0.0001
760 0.6740 nan 0.0100 -0.0001
780 0.6707 nan 0.0100 -0.0000
800 0.6680 nan 0.0100 -0.0001
820 0.6652 nan 0.0100 -0.0002
840 0.6628 nan 0.0100 -0.0002
860 0.6599 nan 0.0100 -0.0000
880 0.6571 nan 0.0100 -0.0001
900 0.6542 nan 0.0100 -0.0001
920 0.6513 nan 0.0100 -0.0000
940 0.6485 nan 0.0100 -0.0001
960 0.6457 nan 0.0100 -0.0000
980 0.6429 nan 0.0100 -0.0002
1000 0.6403 nan 0.0100 -0.0000
1020 0.6381 nan 0.0100 -0.0000
1040 0.6357 nan 0.0100 -0.0001
1060 0.6328 nan 0.0100 -0.0000
1080 0.6305 nan 0.0100 -0.0001
1100 0.6279 nan 0.0100 -0.0001
- Fold02.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2715 nan 0.1000 0.0293
2 1.2178 nan 0.1000 0.0240
3 1.1785 nan 0.1000 0.0200
4 1.1445 nan 0.1000 0.0163
5 1.1184 nan 0.1000 0.0127
6 1.1047 nan 0.1000 0.0047
7 1.0831 nan 0.1000 0.0106
8 1.0610 nan 0.1000 0.0076
9 1.0440 nan 0.1000 0.0061
10 1.0309 nan 0.1000 0.0067
20 0.9405 nan 0.1000 0.0011
40 0.8671 nan 0.1000 0.0010
60 0.8271 nan 0.1000 -0.0011
80 0.8054 nan 0.1000 0.0002
100 0.7902 nan 0.1000 -0.0001
120 0.7767 nan 0.1000 -0.0002
140 0.7662 nan 0.1000 -0.0007
160 0.7589 nan 0.1000 -0.0011
180 0.7519 nan 0.1000 -0.0005
200 0.7458 nan 0.1000 -0.0009
220 0.7402 nan 0.1000 -0.0010
240 0.7339 nan 0.1000 -0.0006
260 0.7270 nan 0.1000 -0.0008
280 0.7226 nan 0.1000 -0.0001
300 0.7181 nan 0.1000 -0.0005
320 0.7140 nan 0.1000 -0.0016
340 0.7101 nan 0.1000 -0.0008
360 0.7068 nan 0.1000 -0.0003
380 0.7039 nan 0.1000 -0.0005
400 0.7002 nan 0.1000 -0.0009
420 0.6970 nan 0.1000 -0.0006
440 0.6945 nan 0.1000 -0.0005
460 0.6917 nan 0.1000 -0.0009
480 0.6876 nan 0.1000 -0.0008
500 0.6862 nan 0.1000 -0.0005
520 0.6827 nan 0.1000 -0.0003
540 0.6810 nan 0.1000 -0.0013
560 0.6788 nan 0.1000 -0.0004
580 0.6764 nan 0.1000 -0.0009
600 0.6744 nan 0.1000 -0.0009
620 0.6732 nan 0.1000 -0.0011
640 0.6706 nan 0.1000 -0.0005
660 0.6684 nan 0.1000 -0.0009
680 0.6670 nan 0.1000 -0.0008
700 0.6660 nan 0.1000 -0.0008
720 0.6644 nan 0.1000 -0.0002
740 0.6618 nan 0.1000 -0.0005
760 0.6602 nan 0.1000 -0.0006
780 0.6586 nan 0.1000 -0.0007
800 0.6578 nan 0.1000 -0.0005
820 0.6555 nan 0.1000 -0.0012
840 0.6538 nan 0.1000 -0.0007
860 0.6508 nan 0.1000 -0.0008
880 0.6496 nan 0.1000 -0.0008
900 0.6479 nan 0.1000 -0.0008
920 0.6472 nan 0.1000 -0.0009
940 0.6457 nan 0.1000 -0.0009
960 0.6445 nan 0.1000 -0.0006
980 0.6430 nan 0.1000 -0.0008
1000 0.6418 nan 0.1000 -0.0007
1020 0.6413 nan 0.1000 -0.0013
1040 0.6397 nan 0.1000 -0.0003
1060 0.6378 nan 0.1000 -0.0010
1080 0.6363 nan 0.1000 -0.0006
1100 0.6356 nan 0.1000 -0.0004
- Fold02.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2580 nan 0.1000 0.0343
2 1.1981 nan 0.1000 0.0271
3 1.1509 nan 0.1000 0.0258
4 1.1104 nan 0.1000 0.0198
5 1.0732 nan 0.1000 0.0182
6 1.0435 nan 0.1000 0.0147
7 1.0181 nan 0.1000 0.0128
8 0.9926 nan 0.1000 0.0112
9 0.9730 nan 0.1000 0.0087
10 0.9527 nan 0.1000 0.0078
20 0.8601 nan 0.1000 0.0026
40 0.7887 nan 0.1000 -0.0005
60 0.7449 nan 0.1000 -0.0003
80 0.7176 nan 0.1000 -0.0008
100 0.6946 nan 0.1000 -0.0015
120 0.6755 nan 0.1000 -0.0003
140 0.6575 nan 0.1000 -0.0010
160 0.6436 nan 0.1000 -0.0007
180 0.6295 nan 0.1000 -0.0007
200 0.6169 nan 0.1000 -0.0007
220 0.6056 nan 0.1000 -0.0004
240 0.5978 nan 0.1000 -0.0015
260 0.5914 nan 0.1000 -0.0007
280 0.5813 nan 0.1000 -0.0001
300 0.5738 nan 0.1000 -0.0014
320 0.5665 nan 0.1000 -0.0004
340 0.5611 nan 0.1000 -0.0010
360 0.5533 nan 0.1000 -0.0006
380 0.5472 nan 0.1000 -0.0009
400 0.5405 nan 0.1000 -0.0011
420 0.5344 nan 0.1000 -0.0007
440 0.5283 nan 0.1000 -0.0015
460 0.5229 nan 0.1000 -0.0002
480 0.5170 nan 0.1000 -0.0009
500 0.5103 nan 0.1000 -0.0009
520 0.5031 nan 0.1000 -0.0009
540 0.4990 nan 0.1000 -0.0009
560 0.4945 nan 0.1000 -0.0008
580 0.4898 nan 0.1000 -0.0007
600 0.4855 nan 0.1000 -0.0010
620 0.4804 nan 0.1000 -0.0009
640 0.4762 nan 0.1000 -0.0007
660 0.4711 nan 0.1000 -0.0011
680 0.4656 nan 0.1000 -0.0003
700 0.4593 nan 0.1000 -0.0008
720 0.4554 nan 0.1000 -0.0009
740 0.4510 nan 0.1000 -0.0005
760 0.4471 nan 0.1000 -0.0007
780 0.4433 nan 0.1000 -0.0009
800 0.4407 nan 0.1000 -0.0007
820 0.4374 nan 0.1000 -0.0010
840 0.4359 nan 0.1000 -0.0006
860 0.4333 nan 0.1000 -0.0009
880 0.4285 nan 0.1000 -0.0008
900 0.4248 nan 0.1000 -0.0006
920 0.4209 nan 0.1000 -0.0011
940 0.4167 nan 0.1000 -0.0009
960 0.4127 nan 0.1000 -0.0008
980 0.4100 nan 0.1000 -0.0011
1000 0.4078 nan 0.1000 -0.0012
1020 0.4045 nan 0.1000 -0.0006
1040 0.3995 nan 0.1000 -0.0005
1060 0.3968 nan 0.1000 -0.0010
1080 0.3935 nan 0.1000 -0.0010
1100 0.3895 nan 0.1000 -0.0008
- Fold02.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2503 nan 0.1000 0.0389
2 1.1832 nan 0.1000 0.0313
3 1.1333 nan 0.1000 0.0239
4 1.0852 nan 0.1000 0.0224
5 1.0467 nan 0.1000 0.0191
6 1.0165 nan 0.1000 0.0144
7 0.9906 nan 0.1000 0.0112
8 0.9632 nan 0.1000 0.0117
9 0.9416 nan 0.1000 0.0096
10 0.9246 nan 0.1000 0.0062
20 0.8234 nan 0.1000 0.0013
40 0.7435 nan 0.1000 -0.0008
60 0.7075 nan 0.1000 -0.0018
80 0.6777 nan 0.1000 -0.0024
100 0.6527 nan 0.1000 -0.0002
120 0.6303 nan 0.1000 0.0004
140 0.6057 nan 0.1000 -0.0009
160 0.5844 nan 0.1000 -0.0015
180 0.5669 nan 0.1000 -0.0009
200 0.5527 nan 0.1000 -0.0023
220 0.5338 nan 0.1000 -0.0019
240 0.5256 nan 0.1000 -0.0020
260 0.5132 nan 0.1000 -0.0005
280 0.5002 nan 0.1000 -0.0005
300 0.4889 nan 0.1000 -0.0012
320 0.4800 nan 0.1000 -0.0005
340 0.4692 nan 0.1000 -0.0008
360 0.4589 nan 0.1000 -0.0008
380 0.4486 nan 0.1000 -0.0001
400 0.4375 nan 0.1000 -0.0010
420 0.4297 nan 0.1000 -0.0009
440 0.4199 nan 0.1000 -0.0005
460 0.4106 nan 0.1000 -0.0014
480 0.4028 nan 0.1000 -0.0014
500 0.3949 nan 0.1000 -0.0010
520 0.3872 nan 0.1000 -0.0012
540 0.3813 nan 0.1000 -0.0005
560 0.3755 nan 0.1000 -0.0007
580 0.3701 nan 0.1000 -0.0013
600 0.3638 nan 0.1000 -0.0006
620 0.3567 nan 0.1000 -0.0008
640 0.3512 nan 0.1000 -0.0013
660 0.3453 nan 0.1000 -0.0007
680 0.3414 nan 0.1000 -0.0009
700 0.3355 nan 0.1000 -0.0009
720 0.3311 nan 0.1000 -0.0011
740 0.3265 nan 0.1000 -0.0005
760 0.3222 nan 0.1000 -0.0009
780 0.3177 nan 0.1000 -0.0007
800 0.3126 nan 0.1000 -0.0011
820 0.3091 nan 0.1000 -0.0009
840 0.3034 nan 0.1000 -0.0007
860 0.2993 nan 0.1000 -0.0010
880 0.2951 nan 0.1000 -0.0015
900 0.2911 nan 0.1000 -0.0009
920 0.2876 nan 0.1000 -0.0008
940 0.2842 nan 0.1000 -0.0008
960 0.2806 nan 0.1000 -0.0011
980 0.2766 nan 0.1000 -0.0005
1000 0.2736 nan 0.1000 -0.0010
1020 0.2702 nan 0.1000 -0.0008
1040 0.2676 nan 0.1000 -0.0006
1060 0.2653 nan 0.1000 -0.0014
1080 0.2613 nan 0.1000 -0.0005
1100 0.2577 nan 0.1000 -0.0007
- Fold02.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3263 nan 0.0100 0.0029
2 1.3205 nan 0.0100 0.0028
3 1.3148 nan 0.0100 0.0027
4 1.3093 nan 0.0100 0.0026
5 1.3041 nan 0.0100 0.0027
6 1.2988 nan 0.0100 0.0026
7 1.2938 nan 0.0100 0.0026
8 1.2885 nan 0.0100 0.0025
9 1.2839 nan 0.0100 0.0025
10 1.2795 nan 0.0100 0.0024
20 1.2350 nan 0.0100 0.0020
40 1.1668 nan 0.0100 0.0013
60 1.1214 nan 0.0100 0.0004
80 1.0868 nan 0.0100 0.0007
100 1.0590 nan 0.0100 0.0005
120 1.0366 nan 0.0100 0.0004
140 1.0173 nan 0.0100 0.0003
160 1.0015 nan 0.0100 0.0003
180 0.9877 nan 0.0100 0.0002
200 0.9754 nan 0.0100 0.0003
220 0.9644 nan 0.0100 0.0002
240 0.9549 nan 0.0100 0.0002
260 0.9464 nan 0.0100 0.0002
280 0.9383 nan 0.0100 0.0001
300 0.9311 nan 0.0100 0.0001
320 0.9244 nan 0.0100 0.0001
340 0.9177 nan 0.0100 0.0001
360 0.9120 nan 0.0100 0.0000
380 0.9066 nan 0.0100 0.0001
400 0.9017 nan 0.0100 0.0001
420 0.8973 nan 0.0100 0.0001
440 0.8933 nan 0.0100 0.0001
460 0.8891 nan 0.0100 0.0001
480 0.8854 nan 0.0100 -0.0000
500 0.8817 nan 0.0100 0.0000
520 0.8782 nan 0.0100 0.0000
540 0.8748 nan 0.0100 -0.0000
560 0.8716 nan 0.0100 -0.0001
580 0.8686 nan 0.0100 0.0000
600 0.8657 nan 0.0100 0.0000
620 0.8631 nan 0.0100 -0.0001
640 0.8605 nan 0.0100 -0.0000
660 0.8579 nan 0.0100 0.0000
680 0.8556 nan 0.0100 -0.0000
700 0.8533 nan 0.0100 0.0000
720 0.8508 nan 0.0100 -0.0000
740 0.8485 nan 0.0100 -0.0000
760 0.8462 nan 0.0100 -0.0001
780 0.8438 nan 0.0100 -0.0000
800 0.8418 nan 0.0100 0.0000
820 0.8398 nan 0.0100 -0.0000
840 0.8378 nan 0.0100 -0.0000
860 0.8361 nan 0.0100 -0.0000
880 0.8343 nan 0.0100 -0.0000
900 0.8328 nan 0.0100 -0.0000
920 0.8312 nan 0.0100 -0.0001
940 0.8294 nan 0.0100 -0.0000
960 0.8277 nan 0.0100 -0.0003
980 0.8262 nan 0.0100 -0.0000
1000 0.8245 nan 0.0100 -0.0001
1020 0.8231 nan 0.0100 -0.0001
1040 0.8216 nan 0.0100 -0.0000
1060 0.8203 nan 0.0100 -0.0000
1080 0.8190 nan 0.0100 -0.0001
1100 0.8175 nan 0.0100 -0.0000
- Fold03.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3249 nan 0.0100 0.0034
2 1.3182 nan 0.0100 0.0034
3 1.3109 nan 0.0100 0.0037
4 1.3042 nan 0.0100 0.0036
5 1.2976 nan 0.0100 0.0031
6 1.2907 nan 0.0100 0.0031
7 1.2839 nan 0.0100 0.0031
8 1.2779 nan 0.0100 0.0033
9 1.2715 nan 0.0100 0.0029
10 1.2655 nan 0.0100 0.0030
20 1.2114 nan 0.0100 0.0024
40 1.1256 nan 0.0100 0.0016
60 1.0645 nan 0.0100 0.0012
80 1.0197 nan 0.0100 0.0009
100 0.9856 nan 0.0100 0.0007
120 0.9585 nan 0.0100 0.0005
140 0.9368 nan 0.0100 0.0004
160 0.9195 nan 0.0100 0.0002
180 0.9048 nan 0.0100 0.0001
200 0.8932 nan 0.0100 0.0000
220 0.8827 nan 0.0100 0.0000
240 0.8741 nan 0.0100 -0.0001
260 0.8656 nan 0.0100 0.0001
280 0.8571 nan 0.0100 -0.0000
300 0.8498 nan 0.0100 0.0001
320 0.8431 nan 0.0100 -0.0000
340 0.8371 nan 0.0100 0.0001
360 0.8311 nan 0.0100 0.0001
380 0.8257 nan 0.0100 0.0000
400 0.8203 nan 0.0100 0.0001
420 0.8152 nan 0.0100 -0.0000
440 0.8108 nan 0.0100 -0.0000
460 0.8065 nan 0.0100 0.0000
480 0.8018 nan 0.0100 -0.0001
500 0.7980 nan 0.0100 -0.0001
520 0.7943 nan 0.0100 -0.0001
540 0.7908 nan 0.0100 0.0000
560 0.7876 nan 0.0100 -0.0001
580 0.7845 nan 0.0100 -0.0001
600 0.7814 nan 0.0100 -0.0000
620 0.7788 nan 0.0100 -0.0001
640 0.7756 nan 0.0100 -0.0001
660 0.7729 nan 0.0100 0.0000
680 0.7700 nan 0.0100 -0.0001
700 0.7675 nan 0.0100 -0.0000
720 0.7651 nan 0.0100 -0.0000
740 0.7622 nan 0.0100 -0.0001
760 0.7595 nan 0.0100 -0.0001
780 0.7570 nan 0.0100 -0.0001
800 0.7544 nan 0.0100 -0.0001
820 0.7520 nan 0.0100 -0.0001
840 0.7498 nan 0.0100 -0.0000
860 0.7471 nan 0.0100 -0.0000
880 0.7447 nan 0.0100 -0.0001
900 0.7426 nan 0.0100 -0.0000
920 0.7403 nan 0.0100 -0.0001
940 0.7379 nan 0.0100 -0.0000
960 0.7362 nan 0.0100 -0.0001
980 0.7345 nan 0.0100 -0.0000
1000 0.7323 nan 0.0100 -0.0001
1020 0.7303 nan 0.0100 -0.0001
1040 0.7283 nan 0.0100 -0.0002
1060 0.7261 nan 0.0100 -0.0001
1080 0.7244 nan 0.0100 -0.0001
1100 0.7223 nan 0.0100 -0.0001
- Fold03.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3244 nan 0.0100 0.0037
2 1.3168 nan 0.0100 0.0035
3 1.3095 nan 0.0100 0.0037
4 1.3026 nan 0.0100 0.0036
5 1.2954 nan 0.0100 0.0034
6 1.2885 nan 0.0100 0.0034
7 1.2813 nan 0.0100 0.0033
8 1.2750 nan 0.0100 0.0035
9 1.2686 nan 0.0100 0.0032
10 1.2624 nan 0.0100 0.0028
20 1.2031 nan 0.0100 0.0026
40 1.1116 nan 0.0100 0.0018
60 1.0437 nan 0.0100 0.0013
80 0.9932 nan 0.0100 0.0008
100 0.9550 nan 0.0100 0.0007
120 0.9256 nan 0.0100 0.0006
140 0.9033 nan 0.0100 0.0003
160 0.8846 nan 0.0100 0.0002
180 0.8687 nan 0.0100 0.0002
200 0.8544 nan 0.0100 0.0001
220 0.8419 nan 0.0100 0.0001
240 0.8311 nan 0.0100 -0.0001
260 0.8214 nan 0.0100 0.0001
280 0.8129 nan 0.0100 -0.0000
300 0.8056 nan 0.0100 -0.0001
320 0.7986 nan 0.0100 0.0000
340 0.7919 nan 0.0100 -0.0000
360 0.7860 nan 0.0100 -0.0000
380 0.7801 nan 0.0100 0.0001
400 0.7739 nan 0.0100 0.0000
420 0.7687 nan 0.0100 -0.0001
440 0.7636 nan 0.0100 0.0001
460 0.7588 nan 0.0100 -0.0001
480 0.7544 nan 0.0100 -0.0000
500 0.7502 nan 0.0100 -0.0001
520 0.7460 nan 0.0100 -0.0000
540 0.7423 nan 0.0100 -0.0001
560 0.7379 nan 0.0100 -0.0001
580 0.7342 nan 0.0100 -0.0001
600 0.7302 nan 0.0100 -0.0001
620 0.7262 nan 0.0100 -0.0000
640 0.7228 nan 0.0100 -0.0000
660 0.7188 nan 0.0100 -0.0001
680 0.7159 nan 0.0100 -0.0001
700 0.7121 nan 0.0100 -0.0001
720 0.7086 nan 0.0100 -0.0001
740 0.7056 nan 0.0100 -0.0001
760 0.7025 nan 0.0100 -0.0000
780 0.6998 nan 0.0100 -0.0000
800 0.6972 nan 0.0100 -0.0001
820 0.6941 nan 0.0100 -0.0002
840 0.6908 nan 0.0100 -0.0001
860 0.6878 nan 0.0100 -0.0000
880 0.6850 nan 0.0100 -0.0002
900 0.6829 nan 0.0100 -0.0002
920 0.6798 nan 0.0100 -0.0001
940 0.6771 nan 0.0100 -0.0001
960 0.6742 nan 0.0100 -0.0001
980 0.6716 nan 0.0100 -0.0001
1000 0.6689 nan 0.0100 -0.0001
1020 0.6662 nan 0.0100 -0.0001
1040 0.6643 nan 0.0100 -0.0001
1060 0.6615 nan 0.0100 -0.0001
1080 0.6587 nan 0.0100 -0.0000
1100 0.6559 nan 0.0100 -0.0001
- Fold03.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2752 nan 0.1000 0.0262
2 1.2262 nan 0.1000 0.0198
3 1.1894 nan 0.1000 0.0185
4 1.1555 nan 0.1000 0.0146
5 1.1314 nan 0.1000 0.0120
6 1.1097 nan 0.1000 0.0098
7 1.0927 nan 0.1000 0.0063
8 1.0777 nan 0.1000 0.0079
9 1.0662 nan 0.1000 0.0066
10 1.0544 nan 0.1000 0.0052
20 0.9740 nan 0.1000 0.0029
40 0.9033 nan 0.1000 0.0011
60 0.8670 nan 0.1000 -0.0002
80 0.8429 nan 0.1000 0.0002
100 0.8263 nan 0.1000 -0.0006
120 0.8135 nan 0.1000 -0.0004
140 0.8000 nan 0.1000 -0.0004
160 0.7933 nan 0.1000 -0.0006
180 0.7880 nan 0.1000 -0.0007
200 0.7802 nan 0.1000 -0.0014
220 0.7715 nan 0.1000 -0.0011
240 0.7652 nan 0.1000 -0.0011
260 0.7597 nan 0.1000 -0.0004
280 0.7538 nan 0.1000 -0.0008
300 0.7516 nan 0.1000 -0.0009
320 0.7457 nan 0.1000 -0.0004
340 0.7426 nan 0.1000 -0.0003
360 0.7378 nan 0.1000 -0.0010
380 0.7357 nan 0.1000 -0.0002
400 0.7321 nan 0.1000 -0.0005
420 0.7271 nan 0.1000 -0.0011
440 0.7251 nan 0.1000 -0.0003
460 0.7215 nan 0.1000 -0.0011
480 0.7173 nan 0.1000 -0.0005
500 0.7155 nan 0.1000 -0.0009
520 0.7140 nan 0.1000 -0.0005
540 0.7115 nan 0.1000 -0.0009
560 0.7085 nan 0.1000 -0.0006
580 0.7054 nan 0.1000 -0.0006
600 0.7027 nan 0.1000 -0.0008
620 0.7000 nan 0.1000 -0.0002
640 0.6987 nan 0.1000 -0.0008
660 0.6968 nan 0.1000 -0.0005
680 0.6946 nan 0.1000 -0.0007
700 0.6934 nan 0.1000 -0.0009
720 0.6907 nan 0.1000 -0.0003
740 0.6882 nan 0.1000 -0.0007
760 0.6872 nan 0.1000 -0.0010
780 0.6849 nan 0.1000 -0.0007
800 0.6832 nan 0.1000 -0.0004
820 0.6795 nan 0.1000 -0.0004
840 0.6789 nan 0.1000 -0.0011
860 0.6777 nan 0.1000 -0.0010
880 0.6749 nan 0.1000 -0.0006
900 0.6734 nan 0.1000 -0.0006
920 0.6715 nan 0.1000 -0.0012
940 0.6696 nan 0.1000 -0.0008
960 0.6685 nan 0.1000 -0.0016
980 0.6675 nan 0.1000 -0.0009
1000 0.6652 nan 0.1000 -0.0004
1020 0.6643 nan 0.1000 -0.0007
1040 0.6629 nan 0.1000 -0.0008
1060 0.6615 nan 0.1000 -0.0006
1080 0.6592 nan 0.1000 -0.0006
1100 0.6565 nan 0.1000 -0.0007
- Fold03.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2627 nan 0.1000 0.0318
2 1.2040 nan 0.1000 0.0265
3 1.1628 nan 0.1000 0.0221
4 1.1191 nan 0.1000 0.0189
5 1.0863 nan 0.1000 0.0162
6 1.0588 nan 0.1000 0.0129
7 1.0358 nan 0.1000 0.0111
8 1.0127 nan 0.1000 0.0095
9 0.9945 nan 0.1000 0.0082
10 0.9786 nan 0.1000 0.0072
20 0.8917 nan 0.1000 0.0016
40 0.8186 nan 0.1000 -0.0004
60 0.7822 nan 0.1000 -0.0009
80 0.7531 nan 0.1000 -0.0008
100 0.7279 nan 0.1000 -0.0019
120 0.7120 nan 0.1000 -0.0005
140 0.6959 nan 0.1000 -0.0008
160 0.6812 nan 0.1000 -0.0011
180 0.6683 nan 0.1000 -0.0010
200 0.6561 nan 0.1000 -0.0009
220 0.6408 nan 0.1000 -0.0014
240 0.6294 nan 0.1000 -0.0008
260 0.6200 nan 0.1000 -0.0002
280 0.6124 nan 0.1000 -0.0002
300 0.6024 nan 0.1000 -0.0013
320 0.5925 nan 0.1000 -0.0007
340 0.5820 nan 0.1000 -0.0011
360 0.5740 nan 0.1000 -0.0009
380 0.5648 nan 0.1000 -0.0008
400 0.5564 nan 0.1000 -0.0008
420 0.5484 nan 0.1000 -0.0004
440 0.5438 nan 0.1000 -0.0011
460 0.5380 nan 0.1000 -0.0009
480 0.5325 nan 0.1000 -0.0010
500 0.5261 nan 0.1000 -0.0006
520 0.5213 nan 0.1000 -0.0018
540 0.5164 nan 0.1000 -0.0007
560 0.5104 nan 0.1000 -0.0006
580 0.5058 nan 0.1000 -0.0005
600 0.5016 nan 0.1000 -0.0012
620 0.4959 nan 0.1000 -0.0010
640 0.4919 nan 0.1000 -0.0010
660 0.4875 nan 0.1000 -0.0003
680 0.4816 nan 0.1000 -0.0014
700 0.4780 nan 0.1000 -0.0003
720 0.4733 nan 0.1000 -0.0006
740 0.4696 nan 0.1000 -0.0007
760 0.4654 nan 0.1000 -0.0009
780 0.4603 nan 0.1000 -0.0009
800 0.4558 nan 0.1000 -0.0005
820 0.4510 nan 0.1000 -0.0007
840 0.4482 nan 0.1000 -0.0003
860 0.4440 nan 0.1000 -0.0006
880 0.4401 nan 0.1000 -0.0006
900 0.4355 nan 0.1000 -0.0011
920 0.4319 nan 0.1000 -0.0009
940 0.4283 nan 0.1000 -0.0010
960 0.4243 nan 0.1000 -0.0011
980 0.4208 nan 0.1000 -0.0011
1000 0.4163 nan 0.1000 -0.0002
1020 0.4149 nan 0.1000 -0.0014
1040 0.4106 nan 0.1000 -0.0006
1060 0.4083 nan 0.1000 -0.0008
1080 0.4050 nan 0.1000 -0.0005
1100 0.4032 nan 0.1000 -0.0015
- Fold03.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2593 nan 0.1000 0.0329
2 1.2000 nan 0.1000 0.0308
3 1.1549 nan 0.1000 0.0219
4 1.1085 nan 0.1000 0.0213
5 1.0720 nan 0.1000 0.0189
6 1.0428 nan 0.1000 0.0126
7 1.0128 nan 0.1000 0.0131
8 0.9897 nan 0.1000 0.0094
9 0.9701 nan 0.1000 0.0076
10 0.9521 nan 0.1000 0.0076
20 0.8558 nan 0.1000 0.0004
40 0.7768 nan 0.1000 -0.0014
60 0.7419 nan 0.1000 -0.0007
80 0.7084 nan 0.1000 -0.0017
100 0.6730 nan 0.1000 -0.0000
120 0.6520 nan 0.1000 -0.0010
140 0.6312 nan 0.1000 -0.0009
160 0.6129 nan 0.1000 -0.0016
180 0.5985 nan 0.1000 -0.0012
200 0.5842 nan 0.1000 -0.0010
220 0.5682 nan 0.1000 -0.0010
240 0.5519 nan 0.1000 -0.0012
260 0.5363 nan 0.1000 -0.0009
280 0.5221 nan 0.1000 -0.0014
300 0.5096 nan 0.1000 -0.0012
320 0.4991 nan 0.1000 -0.0011
340 0.4900 nan 0.1000 -0.0009
360 0.4795 nan 0.1000 -0.0020
380 0.4706 nan 0.1000 -0.0006
400 0.4617 nan 0.1000 -0.0009
420 0.4506 nan 0.1000 -0.0008
440 0.4424 nan 0.1000 -0.0009
460 0.4348 nan 0.1000 -0.0013
480 0.4251 nan 0.1000 -0.0008
500 0.4168 nan 0.1000 -0.0012
520 0.4104 nan 0.1000 -0.0012
540 0.4028 nan 0.1000 -0.0008
560 0.3965 nan 0.1000 -0.0013
580 0.3909 nan 0.1000 -0.0012
600 0.3839 nan 0.1000 -0.0006
620 0.3764 nan 0.1000 -0.0005
640 0.3710 nan 0.1000 -0.0005
660 0.3657 nan 0.1000 -0.0005
680 0.3603 nan 0.1000 -0.0009
700 0.3538 nan 0.1000 -0.0009
720 0.3477 nan 0.1000 -0.0011
740 0.3428 nan 0.1000 -0.0005
760 0.3362 nan 0.1000 -0.0004
780 0.3314 nan 0.1000 -0.0015
800 0.3255 nan 0.1000 -0.0010
820 0.3211 nan 0.1000 -0.0005
840 0.3176 nan 0.1000 -0.0007
860 0.3130 nan 0.1000 -0.0006
880 0.3083 nan 0.1000 -0.0012
900 0.3043 nan 0.1000 -0.0007
920 0.3017 nan 0.1000 -0.0004
940 0.2973 nan 0.1000 -0.0008
960 0.2934 nan 0.1000 -0.0006
980 0.2891 nan 0.1000 -0.0015
1000 0.2857 nan 0.1000 -0.0015
1020 0.2802 nan 0.1000 -0.0014
1040 0.2764 nan 0.1000 -0.0007
1060 0.2726 nan 0.1000 -0.0003
1080 0.2699 nan 0.1000 -0.0005
1100 0.2668 nan 0.1000 -0.0008
- Fold03.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3251 nan 0.0100 0.0031
2 1.3193 nan 0.0100 0.0029
3 1.3128 nan 0.0100 0.0029
4 1.3069 nan 0.0100 0.0030
5 1.3009 nan 0.0100 0.0028
6 1.2952 nan 0.0100 0.0027
7 1.2896 nan 0.0100 0.0026
8 1.2842 nan 0.0100 0.0027
9 1.2792 nan 0.0100 0.0026
10 1.2740 nan 0.0100 0.0025
20 1.2270 nan 0.0100 0.0021
40 1.1558 nan 0.0100 0.0015
60 1.1062 nan 0.0100 0.0011
80 1.0664 nan 0.0100 0.0008
100 1.0357 nan 0.0100 0.0006
120 1.0100 nan 0.0100 0.0005
140 0.9882 nan 0.0100 0.0004
160 0.9699 nan 0.0100 0.0004
180 0.9537 nan 0.0100 0.0003
200 0.9397 nan 0.0100 0.0003
220 0.9264 nan 0.0100 0.0002
240 0.9146 nan 0.0100 0.0002
260 0.9036 nan 0.0100 0.0002
280 0.8949 nan 0.0100 0.0001
300 0.8864 nan 0.0100 0.0002
320 0.8792 nan 0.0100 0.0001
340 0.8722 nan 0.0100 0.0001
360 0.8652 nan 0.0100 0.0001
380 0.8594 nan 0.0100 0.0001
400 0.8540 nan 0.0100 0.0001
420 0.8489 nan 0.0100 -0.0001
440 0.8438 nan 0.0100 0.0000
460 0.8398 nan 0.0100 -0.0000
480 0.8358 nan 0.0100 -0.0000
500 0.8318 nan 0.0100 0.0000
520 0.8279 nan 0.0100 0.0000
540 0.8246 nan 0.0100 0.0000
560 0.8215 nan 0.0100 -0.0001
580 0.8182 nan 0.0100 0.0000
600 0.8150 nan 0.0100 -0.0001
620 0.8116 nan 0.0100 0.0000
640 0.8087 nan 0.0100 -0.0000
660 0.8057 nan 0.0100 0.0000
680 0.8027 nan 0.0100 -0.0000
700 0.8003 nan 0.0100 0.0000
720 0.7977 nan 0.0100 -0.0000
740 0.7955 nan 0.0100 -0.0000
760 0.7931 nan 0.0100 -0.0001
780 0.7907 nan 0.0100 0.0000
800 0.7883 nan 0.0100 -0.0000
820 0.7859 nan 0.0100 -0.0001
840 0.7839 nan 0.0100 0.0000
860 0.7818 nan 0.0100 -0.0000
880 0.7799 nan 0.0100 -0.0000
900 0.7779 nan 0.0100 -0.0000
920 0.7759 nan 0.0100 -0.0000
940 0.7741 nan 0.0100 0.0000
960 0.7724 nan 0.0100 -0.0000
980 0.7708 nan 0.0100 -0.0001
1000 0.7692 nan 0.0100 0.0000
1020 0.7677 nan 0.0100 -0.0001
1040 0.7662 nan 0.0100 -0.0000
1060 0.7649 nan 0.0100 -0.0001
1080 0.7634 nan 0.0100 -0.0000
1100 0.7619 nan 0.0100 -0.0000
- Fold04.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3230 nan 0.0100 0.0040
2 1.3155 nan 0.0100 0.0038
3 1.3078 nan 0.0100 0.0037
4 1.2998 nan 0.0100 0.0033
5 1.2931 nan 0.0100 0.0035
6 1.2860 nan 0.0100 0.0032
7 1.2789 nan 0.0100 0.0033
8 1.2723 nan 0.0100 0.0032
9 1.2652 nan 0.0100 0.0033
10 1.2587 nan 0.0100 0.0035
20 1.1968 nan 0.0100 0.0025
40 1.1038 nan 0.0100 0.0017
60 1.0373 nan 0.0100 0.0014
80 0.9864 nan 0.0100 0.0008
100 0.9479 nan 0.0100 0.0008
120 0.9173 nan 0.0100 0.0004
140 0.8928 nan 0.0100 0.0003
160 0.8742 nan 0.0100 0.0004
180 0.8586 nan 0.0100 0.0003
200 0.8452 nan 0.0100 0.0001
220 0.8336 nan 0.0100 -0.0000
240 0.8227 nan 0.0100 0.0000
260 0.8132 nan 0.0100 0.0001
280 0.8054 nan 0.0100 0.0002
300 0.7973 nan 0.0100 0.0001
320 0.7901 nan 0.0100 -0.0000
340 0.7824 nan 0.0100 0.0000
360 0.7765 nan 0.0100 -0.0000
380 0.7713 nan 0.0100 -0.0000
400 0.7660 nan 0.0100 -0.0001
420 0.7615 nan 0.0100 -0.0000
440 0.7569 nan 0.0100 0.0000
460 0.7520 nan 0.0100 0.0000
480 0.7480 nan 0.0100 -0.0000
500 0.7440 nan 0.0100 -0.0001
520 0.7402 nan 0.0100 -0.0001
540 0.7362 nan 0.0100 -0.0001
560 0.7329 nan 0.0100 -0.0000
580 0.7293 nan 0.0100 -0.0001
600 0.7259 nan 0.0100 0.0000
620 0.7228 nan 0.0100 -0.0001
640 0.7197 nan 0.0100 0.0000
660 0.7171 nan 0.0100 -0.0000
680 0.7142 nan 0.0100 -0.0001
700 0.7115 nan 0.0100 -0.0001
720 0.7088 nan 0.0100 -0.0001
740 0.7061 nan 0.0100 -0.0001
760 0.7035 nan 0.0100 -0.0002
780 0.7010 nan 0.0100 -0.0001
800 0.6986 nan 0.0100 -0.0002
820 0.6963 nan 0.0100 -0.0001
840 0.6942 nan 0.0100 -0.0000
860 0.6919 nan 0.0100 0.0000
880 0.6900 nan 0.0100 -0.0001
900 0.6878 nan 0.0100 -0.0002
920 0.6855 nan 0.0100 -0.0000
940 0.6835 nan 0.0100 -0.0001
960 0.6814 nan 0.0100 -0.0001
980 0.6795 nan 0.0100 -0.0001
1000 0.6777 nan 0.0100 -0.0001
1020 0.6758 nan 0.0100 -0.0000
1040 0.6742 nan 0.0100 -0.0000
1060 0.6722 nan 0.0100 -0.0001
1080 0.6705 nan 0.0100 -0.0001
1100 0.6687 nan 0.0100 -0.0001
- Fold04.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3228 nan 0.0100 0.0043
2 1.3148 nan 0.0100 0.0042
3 1.3063 nan 0.0100 0.0039
4 1.2986 nan 0.0100 0.0038
5 1.2910 nan 0.0100 0.0041
6 1.2833 nan 0.0100 0.0039
7 1.2753 nan 0.0100 0.0037
8 1.2681 nan 0.0100 0.0038
9 1.2609 nan 0.0100 0.0037
10 1.2538 nan 0.0100 0.0036
20 1.1873 nan 0.0100 0.0027
40 1.0863 nan 0.0100 0.0021
60 1.0119 nan 0.0100 0.0015
80 0.9578 nan 0.0100 0.0011
100 0.9145 nan 0.0100 0.0009
120 0.8813 nan 0.0100 0.0005
140 0.8563 nan 0.0100 0.0002
160 0.8362 nan 0.0100 0.0003
180 0.8191 nan 0.0100 0.0004
200 0.8050 nan 0.0100 0.0001
220 0.7929 nan 0.0100 -0.0000
240 0.7824 nan 0.0100 -0.0000
260 0.7730 nan 0.0100 -0.0000
280 0.7638 nan 0.0100 0.0000
300 0.7563 nan 0.0100 0.0000
320 0.7485 nan 0.0100 -0.0001
340 0.7409 nan 0.0100 0.0000
360 0.7341 nan 0.0100 -0.0000
380 0.7278 nan 0.0100 -0.0000
400 0.7219 nan 0.0100 0.0000
420 0.7172 nan 0.0100 0.0000
440 0.7121 nan 0.0100 -0.0000
460 0.7070 nan 0.0100 -0.0000
480 0.7024 nan 0.0100 -0.0001
500 0.6978 nan 0.0100 -0.0001
520 0.6933 nan 0.0100 -0.0000
540 0.6890 nan 0.0100 -0.0001
560 0.6856 nan 0.0100 -0.0001
580 0.6818 nan 0.0100 -0.0001
600 0.6777 nan 0.0100 -0.0001
620 0.6736 nan 0.0100 -0.0001
640 0.6703 nan 0.0100 0.0000
660 0.6668 nan 0.0100 -0.0000
680 0.6636 nan 0.0100 -0.0001
700 0.6609 nan 0.0100 -0.0002
720 0.6578 nan 0.0100 -0.0002
740 0.6547 nan 0.0100 -0.0001
760 0.6520 nan 0.0100 -0.0001
780 0.6490 nan 0.0100 -0.0001
800 0.6464 nan 0.0100 -0.0001
820 0.6437 nan 0.0100 -0.0001
840 0.6406 nan 0.0100 -0.0001
860 0.6378 nan 0.0100 -0.0001
880 0.6353 nan 0.0100 -0.0002
900 0.6327 nan 0.0100 -0.0001
920 0.6298 nan 0.0100 -0.0001
940 0.6277 nan 0.0100 -0.0001
960 0.6253 nan 0.0100 -0.0002
980 0.6230 nan 0.0100 -0.0002
1000 0.6207 nan 0.0100 -0.0002
1020 0.6186 nan 0.0100 -0.0001
1040 0.6162 nan 0.0100 -0.0002
1060 0.6135 nan 0.0100 -0.0001
1080 0.6115 nan 0.0100 -0.0003
1100 0.6092 nan 0.0100 -0.0002
- Fold04.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2742 nan 0.1000 0.0296
2 1.2307 nan 0.1000 0.0240
3 1.1896 nan 0.1000 0.0208
4 1.1573 nan 0.1000 0.0165
5 1.1289 nan 0.1000 0.0130
6 1.1013 nan 0.1000 0.0117
7 1.0816 nan 0.1000 0.0088
8 1.0652 nan 0.1000 0.0082
9 1.0475 nan 0.1000 0.0084
10 1.0326 nan 0.1000 0.0051
20 0.9352 nan 0.1000 0.0028
40 0.8498 nan 0.1000 0.0008
60 0.8114 nan 0.1000 -0.0004
80 0.7837 nan 0.1000 -0.0001
100 0.7672 nan 0.1000 -0.0002
120 0.7559 nan 0.1000 -0.0005
140 0.7464 nan 0.1000 -0.0004
160 0.7370 nan 0.1000 -0.0006
180 0.7283 nan 0.1000 -0.0016
200 0.7217 nan 0.1000 -0.0007
220 0.7144 nan 0.1000 -0.0005
240 0.7082 nan 0.1000 -0.0016
260 0.7016 nan 0.1000 -0.0017
280 0.6984 nan 0.1000 -0.0015
300 0.6941 nan 0.1000 -0.0005
320 0.6910 nan 0.1000 -0.0009
340 0.6866 nan 0.1000 -0.0007
360 0.6824 nan 0.1000 -0.0008
380 0.6801 nan 0.1000 -0.0008
400 0.6771 nan 0.1000 -0.0003
420 0.6743 nan 0.1000 -0.0007
440 0.6716 nan 0.1000 -0.0004
460 0.6693 nan 0.1000 -0.0025
480 0.6674 nan 0.1000 -0.0003
500 0.6653 nan 0.1000 -0.0004
520 0.6624 nan 0.1000 -0.0009
540 0.6604 nan 0.1000 -0.0007
560 0.6583 nan 0.1000 -0.0010
580 0.6572 nan 0.1000 -0.0006
600 0.6544 nan 0.1000 -0.0009
620 0.6526 nan 0.1000 -0.0003
640 0.6509 nan 0.1000 -0.0006
660 0.6495 nan 0.1000 -0.0013
680 0.6474 nan 0.1000 -0.0008
700 0.6448 nan 0.1000 -0.0003
720 0.6422 nan 0.1000 -0.0008
740 0.6418 nan 0.1000 -0.0004
760 0.6392 nan 0.1000 -0.0015
780 0.6378 nan 0.1000 -0.0009
800 0.6351 nan 0.1000 -0.0003
820 0.6336 nan 0.1000 -0.0012
840 0.6313 nan 0.1000 -0.0007
860 0.6290 nan 0.1000 -0.0013
880 0.6285 nan 0.1000 -0.0010
900 0.6263 nan 0.1000 -0.0013
920 0.6258 nan 0.1000 -0.0005
940 0.6227 nan 0.1000 -0.0006
960 0.6214 nan 0.1000 -0.0005
980 0.6193 nan 0.1000 -0.0002
1000 0.6181 nan 0.1000 -0.0003
1020 0.6170 nan 0.1000 -0.0007
1040 0.6158 nan 0.1000 -0.0007
1060 0.6142 nan 0.1000 -0.0009
1080 0.6140 nan 0.1000 -0.0008
1100 0.6115 nan 0.1000 -0.0004
- Fold04.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2528 nan 0.1000 0.0368
2 1.1946 nan 0.1000 0.0300
3 1.1427 nan 0.1000 0.0250
4 1.0969 nan 0.1000 0.0209
5 1.0613 nan 0.1000 0.0163
6 1.0319 nan 0.1000 0.0145
7 1.0051 nan 0.1000 0.0131
8 0.9811 nan 0.1000 0.0097
9 0.9633 nan 0.1000 0.0085
10 0.9462 nan 0.1000 0.0086
20 0.8449 nan 0.1000 0.0008
40 0.7658 nan 0.1000 0.0002
60 0.7270 nan 0.1000 -0.0002
80 0.7011 nan 0.1000 -0.0001
100 0.6787 nan 0.1000 -0.0009
120 0.6614 nan 0.1000 -0.0011
140 0.6444 nan 0.1000 -0.0007
160 0.6302 nan 0.1000 -0.0025
180 0.6196 nan 0.1000 -0.0016
200 0.6069 nan 0.1000 -0.0012
220 0.5985 nan 0.1000 -0.0005
240 0.5862 nan 0.1000 -0.0005
260 0.5784 nan 0.1000 -0.0004
280 0.5681 nan 0.1000 -0.0015
300 0.5596 nan 0.1000 -0.0017
320 0.5526 nan 0.1000 -0.0022
340 0.5442 nan 0.1000 -0.0002
360 0.5384 nan 0.1000 -0.0016
380 0.5313 nan 0.1000 -0.0010
400 0.5251 nan 0.1000 -0.0020
420 0.5192 nan 0.1000 -0.0005
440 0.5119 nan 0.1000 -0.0009
460 0.5036 nan 0.1000 -0.0016
480 0.4970 nan 0.1000 -0.0004
500 0.4882 nan 0.1000 -0.0004
520 0.4827 nan 0.1000 -0.0011
540 0.4787 nan 0.1000 -0.0010
560 0.4732 nan 0.1000 -0.0002
580 0.4686 nan 0.1000 -0.0005
600 0.4648 nan 0.1000 -0.0007
620 0.4597 nan 0.1000 -0.0008
640 0.4544 nan 0.1000 -0.0016
660 0.4481 nan 0.1000 -0.0006
680 0.4446 nan 0.1000 -0.0009
700 0.4391 nan 0.1000 -0.0009
720 0.4356 nan 0.1000 -0.0013
740 0.4319 nan 0.1000 -0.0007
760 0.4292 nan 0.1000 -0.0007
780 0.4246 nan 0.1000 -0.0005
800 0.4208 nan 0.1000 -0.0012
820 0.4171 nan 0.1000 -0.0007
840 0.4133 nan 0.1000 -0.0009
860 0.4099 nan 0.1000 -0.0017
880 0.4063 nan 0.1000 -0.0008
900 0.4025 nan 0.1000 -0.0014
920 0.3986 nan 0.1000 -0.0005
940 0.3943 nan 0.1000 -0.0005
960 0.3913 nan 0.1000 -0.0014
980 0.3879 nan 0.1000 -0.0013
1000 0.3843 nan 0.1000 -0.0010
1020 0.3801 nan 0.1000 -0.0004
1040 0.3777 nan 0.1000 -0.0012
1060 0.3759 nan 0.1000 -0.0009
1080 0.3724 nan 0.1000 -0.0012
1100 0.3701 nan 0.1000 -0.0010
- Fold04.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2522 nan 0.1000 0.0420
2 1.1870 nan 0.1000 0.0332
3 1.1287 nan 0.1000 0.0275
4 1.0794 nan 0.1000 0.0230
5 1.0413 nan 0.1000 0.0185
6 1.0115 nan 0.1000 0.0120
7 0.9826 nan 0.1000 0.0149
8 0.9564 nan 0.1000 0.0111
9 0.9439 nan 0.1000 0.0039
10 0.9215 nan 0.1000 0.0092
20 0.8060 nan 0.1000 0.0033
40 0.7242 nan 0.1000 0.0011
60 0.6868 nan 0.1000 -0.0011
80 0.6576 nan 0.1000 -0.0015
100 0.6285 nan 0.1000 -0.0007
120 0.6072 nan 0.1000 -0.0010
140 0.5860 nan 0.1000 -0.0007
160 0.5639 nan 0.1000 -0.0007
180 0.5471 nan 0.1000 -0.0009
200 0.5306 nan 0.1000 -0.0009
220 0.5183 nan 0.1000 -0.0009
240 0.5043 nan 0.1000 -0.0011
260 0.4903 nan 0.1000 -0.0004
280 0.4767 nan 0.1000 -0.0015
300 0.4655 nan 0.1000 -0.0013
320 0.4553 nan 0.1000 -0.0009
340 0.4420 nan 0.1000 -0.0011
360 0.4304 nan 0.1000 -0.0010
380 0.4197 nan 0.1000 -0.0008
400 0.4105 nan 0.1000 -0.0011
420 0.3989 nan 0.1000 -0.0013
440 0.3904 nan 0.1000 -0.0004
460 0.3834 nan 0.1000 -0.0007
480 0.3761 nan 0.1000 -0.0013
500 0.3708 nan 0.1000 -0.0012
520 0.3650 nan 0.1000 -0.0010
540 0.3597 nan 0.1000 -0.0011
560 0.3531 nan 0.1000 -0.0005
580 0.3443 nan 0.1000 -0.0016
600 0.3372 nan 0.1000 -0.0010
620 0.3311 nan 0.1000 -0.0012
640 0.3262 nan 0.1000 -0.0008
660 0.3215 nan 0.1000 -0.0010
680 0.3169 nan 0.1000 -0.0012
700 0.3104 nan 0.1000 -0.0009
720 0.3060 nan 0.1000 -0.0008
740 0.3018 nan 0.1000 -0.0006
760 0.2966 nan 0.1000 -0.0005
780 0.2923 nan 0.1000 -0.0015
800 0.2883 nan 0.1000 -0.0009
820 0.2840 nan 0.1000 -0.0010
840 0.2798 nan 0.1000 -0.0013
860 0.2752 nan 0.1000 -0.0011
880 0.2718 nan 0.1000 -0.0006
900 0.2671 nan 0.1000 -0.0008
920 0.2628 nan 0.1000 -0.0010
940 0.2579 nan 0.1000 -0.0009
960 0.2545 nan 0.1000 -0.0004
980 0.2512 nan 0.1000 -0.0005
1000 0.2490 nan 0.1000 -0.0004
1020 0.2448 nan 0.1000 -0.0007
1040 0.2413 nan 0.1000 -0.0009
1060 0.2400 nan 0.1000 -0.0009
1080 0.2371 nan 0.1000 -0.0015
1100 0.2345 nan 0.1000 -0.0008
- Fold04.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3260 nan 0.0100 0.0030
2 1.3197 nan 0.0100 0.0029
3 1.3139 nan 0.0100 0.0029
4 1.3079 nan 0.0100 0.0028
5 1.3022 nan 0.0100 0.0028
6 1.2968 nan 0.0100 0.0028
7 1.2916 nan 0.0100 0.0026
8 1.2867 nan 0.0100 0.0026
9 1.2823 nan 0.0100 0.0025
10 1.2769 nan 0.0100 0.0025
20 1.2306 nan 0.0100 0.0021
40 1.1615 nan 0.0100 0.0014
60 1.1122 nan 0.0100 0.0011
80 1.0726 nan 0.0100 0.0008
100 1.0404 nan 0.0100 0.0006
120 1.0160 nan 0.0100 0.0005
140 0.9943 nan 0.0100 0.0003
160 0.9756 nan 0.0100 0.0003
180 0.9598 nan 0.0100 0.0003
200 0.9460 nan 0.0100 0.0003
220 0.9337 nan 0.0100 0.0001
240 0.9228 nan 0.0100 0.0001
260 0.9129 nan 0.0100 0.0002
280 0.9040 nan 0.0100 0.0001
300 0.8966 nan 0.0100 0.0001
320 0.8894 nan 0.0100 0.0002
340 0.8826 nan 0.0100 0.0001
360 0.8765 nan 0.0100 0.0000
380 0.8708 nan 0.0100 0.0000
400 0.8661 nan 0.0100 0.0001
420 0.8613 nan 0.0100 0.0001
440 0.8567 nan 0.0100 0.0001
460 0.8523 nan 0.0100 0.0001
480 0.8480 nan 0.0100 0.0000
500 0.8443 nan 0.0100 -0.0001
520 0.8405 nan 0.0100 0.0001
540 0.8367 nan 0.0100 0.0000
560 0.8332 nan 0.0100 -0.0000
580 0.8300 nan 0.0100 -0.0000
600 0.8269 nan 0.0100 0.0000
620 0.8243 nan 0.0100 -0.0001
640 0.8216 nan 0.0100 -0.0001
660 0.8189 nan 0.0100 0.0000
680 0.8164 nan 0.0100 -0.0000
700 0.8139 nan 0.0100 -0.0000
720 0.8116 nan 0.0100 -0.0000
740 0.8093 nan 0.0100 -0.0001
760 0.8072 nan 0.0100 0.0000
780 0.8050 nan 0.0100 -0.0000
800 0.8031 nan 0.0100 -0.0000
820 0.8012 nan 0.0100 0.0000
840 0.7994 nan 0.0100 -0.0001
860 0.7976 nan 0.0100 -0.0000
880 0.7957 nan 0.0100 0.0000
900 0.7939 nan 0.0100 -0.0000
920 0.7920 nan 0.0100 -0.0000
940 0.7904 nan 0.0100 -0.0000
960 0.7889 nan 0.0100 -0.0000
980 0.7873 nan 0.0100 -0.0001
1000 0.7857 nan 0.0100 -0.0001
1020 0.7841 nan 0.0100 -0.0000
1040 0.7828 nan 0.0100 -0.0002
1060 0.7814 nan 0.0100 0.0000
1080 0.7802 nan 0.0100 -0.0000
1100 0.7789 nan 0.0100 -0.0001
- Fold05.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3233 nan 0.0100 0.0039
2 1.3162 nan 0.0100 0.0036
3 1.3087 nan 0.0100 0.0035
4 1.3015 nan 0.0100 0.0036
5 1.2945 nan 0.0100 0.0035
6 1.2874 nan 0.0100 0.0033
7 1.2805 nan 0.0100 0.0036
8 1.2737 nan 0.0100 0.0032
9 1.2667 nan 0.0100 0.0033
10 1.2602 nan 0.0100 0.0032
20 1.2036 nan 0.0100 0.0026
40 1.1156 nan 0.0100 0.0016
60 1.0499 nan 0.0100 0.0014
80 0.9996 nan 0.0100 0.0009
100 0.9606 nan 0.0100 0.0008
120 0.9316 nan 0.0100 0.0006
140 0.9084 nan 0.0100 0.0003
160 0.8905 nan 0.0100 0.0004
180 0.8740 nan 0.0100 0.0003
200 0.8610 nan 0.0100 0.0001
220 0.8492 nan 0.0100 0.0001
240 0.8390 nan 0.0100 0.0001
260 0.8298 nan 0.0100 0.0001
280 0.8219 nan 0.0100 0.0000
300 0.8144 nan 0.0100 0.0001
320 0.8077 nan 0.0100 0.0001
340 0.8018 nan 0.0100 0.0000
360 0.7959 nan 0.0100 0.0000
380 0.7906 nan 0.0100 0.0000
400 0.7856 nan 0.0100 -0.0000
420 0.7812 nan 0.0100 -0.0000
440 0.7767 nan 0.0100 0.0000
460 0.7729 nan 0.0100 -0.0000
480 0.7686 nan 0.0100 0.0000
500 0.7645 nan 0.0100 -0.0001
520 0.7612 nan 0.0100 -0.0001
540 0.7577 nan 0.0100 -0.0000
560 0.7545 nan 0.0100 -0.0000
580 0.7512 nan 0.0100 -0.0001
600 0.7478 nan 0.0100 0.0000
620 0.7448 nan 0.0100 0.0000
640 0.7417 nan 0.0100 -0.0000
660 0.7384 nan 0.0100 -0.0000
680 0.7356 nan 0.0100 -0.0001
700 0.7327 nan 0.0100 -0.0000
720 0.7299 nan 0.0100 -0.0001
740 0.7277 nan 0.0100 -0.0001
760 0.7248 nan 0.0100 -0.0001
780 0.7218 nan 0.0100 -0.0001
800 0.7192 nan 0.0100 -0.0001
820 0.7171 nan 0.0100 -0.0000
840 0.7150 nan 0.0100 -0.0001
860 0.7129 nan 0.0100 -0.0001
880 0.7107 nan 0.0100 -0.0001
900 0.7081 nan 0.0100 -0.0001
920 0.7058 nan 0.0100 -0.0000
940 0.7038 nan 0.0100 -0.0001
960 0.7015 nan 0.0100 -0.0001
980 0.6995 nan 0.0100 -0.0001
1000 0.6974 nan 0.0100 -0.0001
1020 0.6954 nan 0.0100 -0.0000
1040 0.6934 nan 0.0100 -0.0001
1060 0.6916 nan 0.0100 -0.0000
1080 0.6897 nan 0.0100 -0.0001
1100 0.6878 nan 0.0100 -0.0001
- Fold05.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3233 nan 0.0100 0.0040
2 1.3154 nan 0.0100 0.0040
3 1.3075 nan 0.0100 0.0037
4 1.2994 nan 0.0100 0.0037
5 1.2914 nan 0.0100 0.0037
6 1.2834 nan 0.0100 0.0035
7 1.2761 nan 0.0100 0.0036
8 1.2689 nan 0.0100 0.0036
9 1.2617 nan 0.0100 0.0033
10 1.2551 nan 0.0100 0.0034
20 1.1921 nan 0.0100 0.0029
40 1.0929 nan 0.0100 0.0020
60 1.0210 nan 0.0100 0.0016
80 0.9681 nan 0.0100 0.0011
100 0.9290 nan 0.0100 0.0007
120 0.8998 nan 0.0100 0.0007
140 0.8757 nan 0.0100 0.0005
160 0.8565 nan 0.0100 0.0003
180 0.8401 nan 0.0100 -0.0000
200 0.8262 nan 0.0100 0.0001
220 0.8131 nan 0.0100 0.0001
240 0.8020 nan 0.0100 0.0001
260 0.7918 nan 0.0100 -0.0000
280 0.7826 nan 0.0100 0.0002
300 0.7751 nan 0.0100 -0.0000
320 0.7682 nan 0.0100 0.0001
340 0.7610 nan 0.0100 -0.0001
360 0.7545 nan 0.0100 -0.0000
380 0.7485 nan 0.0100 0.0001
400 0.7430 nan 0.0100 -0.0002
420 0.7374 nan 0.0100 0.0001
440 0.7319 nan 0.0100 -0.0000
460 0.7269 nan 0.0100 0.0000
480 0.7224 nan 0.0100 -0.0001
500 0.7179 nan 0.0100 -0.0001
520 0.7141 nan 0.0100 -0.0001
540 0.7100 nan 0.0100 -0.0001
560 0.7064 nan 0.0100 -0.0002
580 0.7023 nan 0.0100 -0.0000
600 0.6982 nan 0.0100 -0.0001
620 0.6945 nan 0.0100 0.0000
640 0.6907 nan 0.0100 -0.0001
660 0.6876 nan 0.0100 -0.0002
680 0.6839 nan 0.0100 -0.0001
700 0.6804 nan 0.0100 -0.0001
720 0.6771 nan 0.0100 -0.0001
740 0.6742 nan 0.0100 -0.0001
760 0.6707 nan 0.0100 -0.0001
780 0.6675 nan 0.0100 -0.0001
800 0.6639 nan 0.0100 -0.0001
820 0.6602 nan 0.0100 -0.0001
840 0.6569 nan 0.0100 -0.0002
860 0.6543 nan 0.0100 -0.0001
880 0.6517 nan 0.0100 -0.0001
900 0.6489 nan 0.0100 -0.0001
920 0.6464 nan 0.0100 0.0000
940 0.6436 nan 0.0100 -0.0000
960 0.6405 nan 0.0100 -0.0001
980 0.6379 nan 0.0100 -0.0001
1000 0.6357 nan 0.0100 -0.0002
1020 0.6333 nan 0.0100 -0.0001
1040 0.6308 nan 0.0100 -0.0002
1060 0.6283 nan 0.0100 -0.0002
1080 0.6259 nan 0.0100 -0.0000
1100 0.6238 nan 0.0100 -0.0001
- Fold05.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2744 nan 0.1000 0.0289
2 1.2247 nan 0.1000 0.0230
3 1.1912 nan 0.1000 0.0189
4 1.1563 nan 0.1000 0.0141
5 1.1278 nan 0.1000 0.0138
6 1.1066 nan 0.1000 0.0083
7 1.0835 nan 0.1000 0.0108
8 1.0646 nan 0.1000 0.0085
9 1.0468 nan 0.1000 0.0068
10 1.0339 nan 0.1000 0.0059
20 0.9420 nan 0.1000 0.0023
40 0.8656 nan 0.1000 0.0008
60 0.8255 nan 0.1000 -0.0009
80 0.8010 nan 0.1000 -0.0005
100 0.7848 nan 0.1000 -0.0002
120 0.7724 nan 0.1000 -0.0003
140 0.7627 nan 0.1000 -0.0001
160 0.7556 nan 0.1000 -0.0005
180 0.7472 nan 0.1000 -0.0006
200 0.7392 nan 0.1000 -0.0002
220 0.7341 nan 0.1000 -0.0007
240 0.7277 nan 0.1000 -0.0001
260 0.7215 nan 0.1000 -0.0006
280 0.7181 nan 0.1000 -0.0001
300 0.7137 nan 0.1000 -0.0012
320 0.7086 nan 0.1000 -0.0007
340 0.7059 nan 0.1000 -0.0006
360 0.7015 nan 0.1000 -0.0012
380 0.6977 nan 0.1000 -0.0007
400 0.6950 nan 0.1000 -0.0008
420 0.6923 nan 0.1000 -0.0006
440 0.6895 nan 0.1000 -0.0013
460 0.6862 nan 0.1000 -0.0013
480 0.6846 nan 0.1000 -0.0010
500 0.6827 nan 0.1000 -0.0006
520 0.6806 nan 0.1000 -0.0010
540 0.6781 nan 0.1000 -0.0005
560 0.6768 nan 0.1000 -0.0005
580 0.6749 nan 0.1000 -0.0006
600 0.6737 nan 0.1000 -0.0014
620 0.6696 nan 0.1000 -0.0007
640 0.6681 nan 0.1000 -0.0006
660 0.6659 nan 0.1000 -0.0021
680 0.6633 nan 0.1000 -0.0005
700 0.6616 nan 0.1000 -0.0003
720 0.6586 nan 0.1000 -0.0006
740 0.6564 nan 0.1000 -0.0003
760 0.6546 nan 0.1000 -0.0005
780 0.6537 nan 0.1000 -0.0002
800 0.6522 nan 0.1000 -0.0011
820 0.6510 nan 0.1000 -0.0012
840 0.6479 nan 0.1000 -0.0010
860 0.6459 nan 0.1000 -0.0004
880 0.6437 nan 0.1000 -0.0009
900 0.6424 nan 0.1000 -0.0009
920 0.6411 nan 0.1000 -0.0013
940 0.6396 nan 0.1000 -0.0003
960 0.6375 nan 0.1000 -0.0007
980 0.6366 nan 0.1000 -0.0004
1000 0.6365 nan 0.1000 -0.0013
1020 0.6351 nan 0.1000 -0.0010
1040 0.6345 nan 0.1000 -0.0007
1060 0.6327 nan 0.1000 -0.0004
1080 0.6313 nan 0.1000 -0.0005
1100 0.6301 nan 0.1000 -0.0003
- Fold05.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2580 nan 0.1000 0.0336
2 1.1994 nan 0.1000 0.0303
3 1.1545 nan 0.1000 0.0242
4 1.1098 nan 0.1000 0.0209
5 1.0758 nan 0.1000 0.0153
6 1.0463 nan 0.1000 0.0129
7 1.0220 nan 0.1000 0.0121
8 1.0014 nan 0.1000 0.0106
9 0.9790 nan 0.1000 0.0096
10 0.9633 nan 0.1000 0.0087
20 0.8618 nan 0.1000 0.0019
40 0.7869 nan 0.1000 0.0005
60 0.7533 nan 0.1000 -0.0004
80 0.7250 nan 0.1000 -0.0008
100 0.7071 nan 0.1000 -0.0011
120 0.6856 nan 0.1000 -0.0012
140 0.6685 nan 0.1000 -0.0009
160 0.6527 nan 0.1000 -0.0010
180 0.6417 nan 0.1000 -0.0010
200 0.6276 nan 0.1000 -0.0007
220 0.6147 nan 0.1000 0.0002
240 0.6044 nan 0.1000 -0.0015
260 0.5967 nan 0.1000 -0.0009
280 0.5889 nan 0.1000 -0.0011
300 0.5797 nan 0.1000 -0.0014
320 0.5730 nan 0.1000 -0.0012
340 0.5641 nan 0.1000 -0.0012
360 0.5581 nan 0.1000 -0.0003
380 0.5484 nan 0.1000 -0.0004
400 0.5422 nan 0.1000 -0.0008
420 0.5365 nan 0.1000 -0.0014
440 0.5296 nan 0.1000 -0.0004
460 0.5223 nan 0.1000 -0.0008
480 0.5174 nan 0.1000 -0.0009
500 0.5106 nan 0.1000 -0.0005
520 0.5051 nan 0.1000 -0.0008
540 0.4996 nan 0.1000 -0.0009
560 0.4959 nan 0.1000 -0.0011
580 0.4893 nan 0.1000 -0.0010
600 0.4849 nan 0.1000 -0.0023
620 0.4790 nan 0.1000 -0.0020
640 0.4740 nan 0.1000 -0.0007
660 0.4671 nan 0.1000 -0.0003
680 0.4612 nan 0.1000 -0.0004
700 0.4561 nan 0.1000 -0.0002
720 0.4529 nan 0.1000 -0.0011
740 0.4490 nan 0.1000 -0.0003
760 0.4439 nan 0.1000 -0.0003
780 0.4406 nan 0.1000 -0.0006
800 0.4373 nan 0.1000 -0.0010
820 0.4338 nan 0.1000 -0.0012
840 0.4312 nan 0.1000 -0.0006
860 0.4283 nan 0.1000 -0.0016
880 0.4258 nan 0.1000 -0.0012
900 0.4202 nan 0.1000 -0.0008
920 0.4174 nan 0.1000 -0.0004
940 0.4151 nan 0.1000 -0.0008
960 0.4112 nan 0.1000 -0.0009
980 0.4087 nan 0.1000 -0.0011
1000 0.4039 nan 0.1000 -0.0009
1020 0.4011 nan 0.1000 -0.0009
1040 0.3976 nan 0.1000 -0.0010
1060 0.3956 nan 0.1000 -0.0011
1080 0.3929 nan 0.1000 -0.0010
1100 0.3901 nan 0.1000 -0.0008
- Fold05.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2505 nan 0.1000 0.0366
2 1.1835 nan 0.1000 0.0332
3 1.1309 nan 0.1000 0.0271
4 1.0855 nan 0.1000 0.0210
5 1.0453 nan 0.1000 0.0184
6 1.0119 nan 0.1000 0.0169
7 0.9829 nan 0.1000 0.0126
8 0.9557 nan 0.1000 0.0126
9 0.9340 nan 0.1000 0.0090
10 0.9185 nan 0.1000 0.0072
20 0.8223 nan 0.1000 0.0019
40 0.7498 nan 0.1000 -0.0006
60 0.7069 nan 0.1000 -0.0009
80 0.6724 nan 0.1000 -0.0014
100 0.6464 nan 0.1000 -0.0010
120 0.6249 nan 0.1000 -0.0012
140 0.5976 nan 0.1000 -0.0010
160 0.5762 nan 0.1000 -0.0010
180 0.5636 nan 0.1000 -0.0005
200 0.5479 nan 0.1000 -0.0006
220 0.5343 nan 0.1000 -0.0010
240 0.5201 nan 0.1000 -0.0010
260 0.5102 nan 0.1000 -0.0014
280 0.4960 nan 0.1000 -0.0008
300 0.4853 nan 0.1000 -0.0013
320 0.4790 nan 0.1000 -0.0017
340 0.4678 nan 0.1000 -0.0011
360 0.4575 nan 0.1000 -0.0006
380 0.4490 nan 0.1000 -0.0017
400 0.4391 nan 0.1000 -0.0009
420 0.4314 nan 0.1000 -0.0014
440 0.4213 nan 0.1000 -0.0008
460 0.4121 nan 0.1000 -0.0013
480 0.4059 nan 0.1000 -0.0005
500 0.3994 nan 0.1000 -0.0006
520 0.3938 nan 0.1000 -0.0016
540 0.3859 nan 0.1000 -0.0013
560 0.3788 nan 0.1000 -0.0023
580 0.3708 nan 0.1000 -0.0011
600 0.3637 nan 0.1000 -0.0014
620 0.3576 nan 0.1000 -0.0011
640 0.3528 nan 0.1000 -0.0010
660 0.3482 nan 0.1000 -0.0012
680 0.3441 nan 0.1000 -0.0014
700 0.3401 nan 0.1000 -0.0014
720 0.3355 nan 0.1000 -0.0012
740 0.3310 nan 0.1000 -0.0019
760 0.3260 nan 0.1000 -0.0009
780 0.3209 nan 0.1000 -0.0009
800 0.3159 nan 0.1000 -0.0005
820 0.3136 nan 0.1000 -0.0011
840 0.3102 nan 0.1000 -0.0008
860 0.3070 nan 0.1000 -0.0010
880 0.3042 nan 0.1000 -0.0010
900 0.3008 nan 0.1000 -0.0005
920 0.2978 nan 0.1000 -0.0008
940 0.2934 nan 0.1000 -0.0009
960 0.2891 nan 0.1000 -0.0007
980 0.2856 nan 0.1000 -0.0007
1000 0.2810 nan 0.1000 -0.0006
1020 0.2785 nan 0.1000 -0.0011
1040 0.2764 nan 0.1000 -0.0011
1060 0.2726 nan 0.1000 -0.0008
1080 0.2703 nan 0.1000 -0.0016
1100 0.2671 nan 0.1000 -0.0006
- Fold05.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3264 nan 0.0100 0.0028
2 1.3205 nan 0.0100 0.0028
3 1.3153 nan 0.0100 0.0027
4 1.3103 nan 0.0100 0.0027
5 1.3055 nan 0.0100 0.0026
6 1.3001 nan 0.0100 0.0026
7 1.2943 nan 0.0100 0.0025
8 1.2891 nan 0.0100 0.0025
9 1.2843 nan 0.0100 0.0024
10 1.2791 nan 0.0100 0.0023
20 1.2344 nan 0.0100 0.0019
40 1.1701 nan 0.0100 0.0014
60 1.1240 nan 0.0100 0.0010
80 1.0880 nan 0.0100 0.0006
100 1.0589 nan 0.0100 0.0006
120 1.0340 nan 0.0100 0.0003
140 1.0138 nan 0.0100 0.0004
160 0.9966 nan 0.0100 0.0003
180 0.9821 nan 0.0100 0.0003
200 0.9692 nan 0.0100 0.0002
220 0.9578 nan 0.0100 0.0002
240 0.9480 nan 0.0100 0.0002
260 0.9389 nan 0.0100 0.0001
280 0.9304 nan 0.0100 0.0002
300 0.9220 nan 0.0100 0.0002
320 0.9154 nan 0.0100 0.0001
340 0.9086 nan 0.0100 0.0000
360 0.9021 nan 0.0100 0.0001
380 0.8968 nan 0.0100 0.0001
400 0.8912 nan 0.0100 0.0001
420 0.8865 nan 0.0100 0.0001
440 0.8816 nan 0.0100 -0.0000
460 0.8773 nan 0.0100 0.0001
480 0.8729 nan 0.0100 0.0000
500 0.8693 nan 0.0100 0.0000
520 0.8654 nan 0.0100 0.0000
540 0.8615 nan 0.0100 -0.0000
560 0.8578 nan 0.0100 -0.0000
580 0.8545 nan 0.0100 0.0000
600 0.8515 nan 0.0100 -0.0000
620 0.8489 nan 0.0100 -0.0000
640 0.8460 nan 0.0100 -0.0000
660 0.8431 nan 0.0100 -0.0000
680 0.8404 nan 0.0100 0.0000
700 0.8376 nan 0.0100 -0.0000
720 0.8352 nan 0.0100 0.0000
740 0.8328 nan 0.0100 0.0000
760 0.8305 nan 0.0100 -0.0000
780 0.8282 nan 0.0100 -0.0000
800 0.8261 nan 0.0100 -0.0000
820 0.8240 nan 0.0100 -0.0000
840 0.8220 nan 0.0100 -0.0000
860 0.8202 nan 0.0100 -0.0000
880 0.8183 nan 0.0100 0.0000
900 0.8165 nan 0.0100 -0.0001
920 0.8149 nan 0.0100 -0.0000
940 0.8132 nan 0.0100 -0.0001
960 0.8115 nan 0.0100 0.0000
980 0.8100 nan 0.0100 -0.0001
1000 0.8084 nan 0.0100 -0.0001
1020 0.8070 nan 0.0100 -0.0000
1040 0.8059 nan 0.0100 -0.0001
1060 0.8047 nan 0.0100 -0.0001
1080 0.8033 nan 0.0100 -0.0001
1100 0.8019 nan 0.0100 -0.0000
- Fold06.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3250 nan 0.0100 0.0035
2 1.3174 nan 0.0100 0.0034
3 1.3102 nan 0.0100 0.0034
4 1.3038 nan 0.0100 0.0033
5 1.2975 nan 0.0100 0.0033
6 1.2910 nan 0.0100 0.0032
7 1.2843 nan 0.0100 0.0031
8 1.2779 nan 0.0100 0.0030
9 1.2715 nan 0.0100 0.0027
10 1.2656 nan 0.0100 0.0030
20 1.2118 nan 0.0100 0.0025
40 1.1272 nan 0.0100 0.0016
60 1.0650 nan 0.0100 0.0013
80 1.0183 nan 0.0100 0.0009
100 0.9836 nan 0.0100 0.0007
120 0.9563 nan 0.0100 0.0005
140 0.9335 nan 0.0100 0.0003
160 0.9161 nan 0.0100 0.0003
180 0.8997 nan 0.0100 0.0001
200 0.8864 nan 0.0100 0.0002
220 0.8742 nan 0.0100 0.0001
240 0.8636 nan 0.0100 0.0001
260 0.8546 nan 0.0100 0.0000
280 0.8464 nan 0.0100 0.0000
300 0.8389 nan 0.0100 0.0001
320 0.8315 nan 0.0100 0.0000
340 0.8250 nan 0.0100 -0.0000
360 0.8191 nan 0.0100 0.0001
380 0.8131 nan 0.0100 0.0001
400 0.8082 nan 0.0100 0.0001
420 0.8033 nan 0.0100 -0.0000
440 0.7988 nan 0.0100 -0.0000
460 0.7944 nan 0.0100 -0.0000
480 0.7908 nan 0.0100 -0.0000
500 0.7869 nan 0.0100 -0.0001
520 0.7831 nan 0.0100 0.0000
540 0.7796 nan 0.0100 -0.0001
560 0.7765 nan 0.0100 -0.0001
580 0.7734 nan 0.0100 -0.0000
600 0.7700 nan 0.0100 -0.0000
620 0.7666 nan 0.0100 0.0000
640 0.7638 nan 0.0100 -0.0001
660 0.7609 nan 0.0100 -0.0001
680 0.7582 nan 0.0100 -0.0000
700 0.7551 nan 0.0100 -0.0001
720 0.7526 nan 0.0100 -0.0001
740 0.7506 nan 0.0100 -0.0000
760 0.7484 nan 0.0100 -0.0000
780 0.7464 nan 0.0100 -0.0001
800 0.7441 nan 0.0100 -0.0001
820 0.7417 nan 0.0100 -0.0000
840 0.7399 nan 0.0100 -0.0001
860 0.7379 nan 0.0100 -0.0001
880 0.7357 nan 0.0100 -0.0002
900 0.7334 nan 0.0100 -0.0000
920 0.7309 nan 0.0100 -0.0000
940 0.7289 nan 0.0100 -0.0001
960 0.7268 nan 0.0100 -0.0001
980 0.7250 nan 0.0100 -0.0002
1000 0.7232 nan 0.0100 0.0000
1020 0.7215 nan 0.0100 -0.0000
1040 0.7196 nan 0.0100 -0.0002
1060 0.7177 nan 0.0100 -0.0000
1080 0.7159 nan 0.0100 -0.0001
1100 0.7140 nan 0.0100 -0.0001
- Fold06.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3239 nan 0.0100 0.0039
2 1.3162 nan 0.0100 0.0037
3 1.3081 nan 0.0100 0.0037
4 1.3007 nan 0.0100 0.0035
5 1.2935 nan 0.0100 0.0034
6 1.2867 nan 0.0100 0.0035
7 1.2796 nan 0.0100 0.0031
8 1.2726 nan 0.0100 0.0035
9 1.2660 nan 0.0100 0.0031
10 1.2594 nan 0.0100 0.0031
20 1.2001 nan 0.0100 0.0027
40 1.1067 nan 0.0100 0.0018
60 1.0379 nan 0.0100 0.0013
80 0.9874 nan 0.0100 0.0010
100 0.9515 nan 0.0100 0.0003
120 0.9221 nan 0.0100 0.0004
140 0.8994 nan 0.0100 0.0001
160 0.8786 nan 0.0100 0.0002
180 0.8620 nan 0.0100 0.0002
200 0.8479 nan 0.0100 0.0001
220 0.8364 nan 0.0100 0.0001
240 0.8243 nan 0.0100 0.0001
260 0.8143 nan 0.0100 0.0001
280 0.8056 nan 0.0100 0.0000
300 0.7975 nan 0.0100 -0.0000
320 0.7904 nan 0.0100 0.0000
340 0.7833 nan 0.0100 -0.0001
360 0.7773 nan 0.0100 -0.0001
380 0.7718 nan 0.0100 0.0000
400 0.7660 nan 0.0100 0.0000
420 0.7602 nan 0.0100 -0.0001
440 0.7549 nan 0.0100 -0.0001
460 0.7503 nan 0.0100 -0.0002
480 0.7460 nan 0.0100 -0.0002
500 0.7416 nan 0.0100 -0.0001
520 0.7373 nan 0.0100 -0.0001
540 0.7334 nan 0.0100 -0.0001
560 0.7298 nan 0.0100 -0.0001
580 0.7262 nan 0.0100 -0.0001
600 0.7231 nan 0.0100 -0.0001
620 0.7194 nan 0.0100 -0.0000
640 0.7163 nan 0.0100 -0.0001
660 0.7130 nan 0.0100 -0.0002
680 0.7097 nan 0.0100 -0.0001
700 0.7064 nan 0.0100 -0.0002
720 0.7034 nan 0.0100 -0.0001
740 0.7001 nan 0.0100 -0.0000
760 0.6969 nan 0.0100 -0.0001
780 0.6935 nan 0.0100 -0.0001
800 0.6901 nan 0.0100 -0.0000
820 0.6874 nan 0.0100 -0.0001
840 0.6847 nan 0.0100 -0.0001
860 0.6822 nan 0.0100 -0.0002
880 0.6794 nan 0.0100 -0.0001
900 0.6771 nan 0.0100 -0.0001
920 0.6747 nan 0.0100 0.0000
940 0.6720 nan 0.0100 -0.0002
960 0.6696 nan 0.0100 -0.0001
980 0.6673 nan 0.0100 -0.0001
1000 0.6642 nan 0.0100 -0.0001
1020 0.6617 nan 0.0100 -0.0002
1040 0.6592 nan 0.0100 -0.0001
1060 0.6565 nan 0.0100 -0.0001
1080 0.6538 nan 0.0100 -0.0002
1100 0.6512 nan 0.0100 -0.0002
- Fold06.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2786 nan 0.1000 0.0260
2 1.2340 nan 0.1000 0.0216
3 1.1962 nan 0.1000 0.0191
4 1.1676 nan 0.1000 0.0140
5 1.1409 nan 0.1000 0.0131
6 1.1202 nan 0.1000 0.0107
7 1.1030 nan 0.1000 0.0079
8 1.0863 nan 0.1000 0.0072
9 1.0702 nan 0.1000 0.0071
10 1.0568 nan 0.1000 0.0050
20 0.9669 nan 0.1000 0.0026
40 0.8898 nan 0.1000 0.0005
60 0.8545 nan 0.1000 -0.0001
80 0.8271 nan 0.1000 -0.0007
100 0.8106 nan 0.1000 -0.0005
120 0.7996 nan 0.1000 -0.0011
140 0.7894 nan 0.1000 -0.0004
160 0.7828 nan 0.1000 -0.0012
180 0.7739 nan 0.1000 -0.0012
200 0.7685 nan 0.1000 -0.0008
220 0.7623 nan 0.1000 -0.0005
240 0.7584 nan 0.1000 -0.0005
260 0.7546 nan 0.1000 -0.0008
280 0.7507 nan 0.1000 -0.0002
300 0.7464 nan 0.1000 -0.0018
320 0.7420 nan 0.1000 -0.0005
340 0.7378 nan 0.1000 -0.0006
360 0.7354 nan 0.1000 -0.0010
380 0.7321 nan 0.1000 -0.0010
400 0.7299 nan 0.1000 -0.0009
420 0.7259 nan 0.1000 -0.0006
440 0.7219 nan 0.1000 -0.0008
460 0.7196 nan 0.1000 -0.0008
480 0.7172 nan 0.1000 -0.0005
500 0.7169 nan 0.1000 -0.0008
520 0.7147 nan 0.1000 -0.0019
540 0.7123 nan 0.1000 -0.0012
560 0.7090 nan 0.1000 -0.0004
580 0.7065 nan 0.1000 -0.0008
600 0.7045 nan 0.1000 -0.0006
620 0.7022 nan 0.1000 -0.0005
640 0.7010 nan 0.1000 -0.0001
660 0.6985 nan 0.1000 -0.0010
680 0.6973 nan 0.1000 -0.0009
700 0.6960 nan 0.1000 -0.0007
720 0.6937 nan 0.1000 -0.0007
740 0.6914 nan 0.1000 -0.0010
760 0.6905 nan 0.1000 -0.0008
780 0.6891 nan 0.1000 -0.0005
800 0.6872 nan 0.1000 -0.0008
820 0.6859 nan 0.1000 -0.0004
840 0.6831 nan 0.1000 -0.0003
860 0.6831 nan 0.1000 -0.0012
880 0.6819 nan 0.1000 -0.0020
900 0.6797 nan 0.1000 -0.0006
920 0.6782 nan 0.1000 -0.0008
940 0.6770 nan 0.1000 -0.0009
960 0.6766 nan 0.1000 -0.0005
980 0.6748 nan 0.1000 -0.0009
1000 0.6735 nan 0.1000 -0.0008
1020 0.6730 nan 0.1000 -0.0003
1040 0.6703 nan 0.1000 -0.0007
1060 0.6702 nan 0.1000 -0.0007
1080 0.6688 nan 0.1000 -0.0008
1100 0.6683 nan 0.1000 -0.0008
- Fold06.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2644 nan 0.1000 0.0339
2 1.2102 nan 0.1000 0.0275
3 1.1648 nan 0.1000 0.0220
4 1.1233 nan 0.1000 0.0196
5 1.0898 nan 0.1000 0.0163
6 1.0616 nan 0.1000 0.0138
7 1.0357 nan 0.1000 0.0116
8 1.0130 nan 0.1000 0.0095
9 0.9941 nan 0.1000 0.0077
10 0.9762 nan 0.1000 0.0070
20 0.8858 nan 0.1000 0.0013
40 0.8130 nan 0.1000 -0.0000
60 0.7785 nan 0.1000 -0.0001
80 0.7511 nan 0.1000 -0.0015
100 0.7367 nan 0.1000 -0.0017
120 0.7181 nan 0.1000 -0.0009
140 0.7025 nan 0.1000 -0.0011
160 0.6910 nan 0.1000 -0.0017
180 0.6820 nan 0.1000 -0.0010
200 0.6688 nan 0.1000 -0.0007
220 0.6561 nan 0.1000 -0.0005
240 0.6431 nan 0.1000 -0.0005
260 0.6317 nan 0.1000 -0.0017
280 0.6198 nan 0.1000 -0.0007
300 0.6094 nan 0.1000 -0.0004
320 0.6034 nan 0.1000 -0.0009
340 0.5962 nan 0.1000 -0.0010
360 0.5859 nan 0.1000 -0.0004
380 0.5779 nan 0.1000 -0.0009
400 0.5706 nan 0.1000 -0.0009
420 0.5609 nan 0.1000 -0.0007
440 0.5550 nan 0.1000 -0.0005
460 0.5488 nan 0.1000 -0.0003
480 0.5426 nan 0.1000 -0.0012
500 0.5357 nan 0.1000 -0.0017
520 0.5304 nan 0.1000 -0.0019
540 0.5212 nan 0.1000 -0.0005
560 0.5168 nan 0.1000 -0.0009
580 0.5107 nan 0.1000 -0.0007
600 0.5053 nan 0.1000 -0.0013
620 0.4998 nan 0.1000 -0.0006
640 0.4948 nan 0.1000 -0.0009
660 0.4913 nan 0.1000 -0.0010
680 0.4864 nan 0.1000 -0.0008
700 0.4822 nan 0.1000 -0.0013
720 0.4780 nan 0.1000 -0.0017
740 0.4725 nan 0.1000 -0.0010
760 0.4671 nan 0.1000 -0.0009
780 0.4629 nan 0.1000 -0.0011
800 0.4593 nan 0.1000 -0.0017
820 0.4563 nan 0.1000 -0.0009
840 0.4517 nan 0.1000 -0.0007
860 0.4481 nan 0.1000 -0.0005
880 0.4446 nan 0.1000 -0.0009
900 0.4419 nan 0.1000 -0.0017
920 0.4384 nan 0.1000 -0.0004
940 0.4346 nan 0.1000 -0.0006
960 0.4307 nan 0.1000 -0.0010
980 0.4280 nan 0.1000 -0.0008
1000 0.4253 nan 0.1000 -0.0006
1020 0.4227 nan 0.1000 -0.0009
1040 0.4201 nan 0.1000 -0.0009
1060 0.4168 nan 0.1000 -0.0006
1080 0.4130 nan 0.1000 -0.0009
1100 0.4103 nan 0.1000 -0.0017
- Fold06.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2568 nan 0.1000 0.0386
2 1.1981 nan 0.1000 0.0266
3 1.1487 nan 0.1000 0.0246
4 1.1067 nan 0.1000 0.0211
5 1.0711 nan 0.1000 0.0176
6 1.0372 nan 0.1000 0.0150
7 1.0095 nan 0.1000 0.0134
8 0.9838 nan 0.1000 0.0103
9 0.9640 nan 0.1000 0.0087
10 0.9436 nan 0.1000 0.0071
20 0.8520 nan 0.1000 0.0020
40 0.7726 nan 0.1000 -0.0011
60 0.7286 nan 0.1000 -0.0005
80 0.6967 nan 0.1000 -0.0008
100 0.6712 nan 0.1000 -0.0004
120 0.6446 nan 0.1000 -0.0010
140 0.6186 nan 0.1000 -0.0009
160 0.5941 nan 0.1000 -0.0013
180 0.5783 nan 0.1000 -0.0013
200 0.5663 nan 0.1000 -0.0010
220 0.5516 nan 0.1000 -0.0019
240 0.5392 nan 0.1000 -0.0016
260 0.5287 nan 0.1000 -0.0010
280 0.5178 nan 0.1000 -0.0009
300 0.5065 nan 0.1000 -0.0011
320 0.4952 nan 0.1000 -0.0014
340 0.4874 nan 0.1000 -0.0017
360 0.4785 nan 0.1000 -0.0011
380 0.4698 nan 0.1000 -0.0012
400 0.4585 nan 0.1000 -0.0007
420 0.4510 nan 0.1000 -0.0011
440 0.4409 nan 0.1000 -0.0015
460 0.4336 nan 0.1000 -0.0009
480 0.4251 nan 0.1000 -0.0011
500 0.4182 nan 0.1000 -0.0016
520 0.4112 nan 0.1000 -0.0010
540 0.4041 nan 0.1000 -0.0008
560 0.3957 nan 0.1000 -0.0008
580 0.3899 nan 0.1000 -0.0006
600 0.3818 nan 0.1000 -0.0016
620 0.3760 nan 0.1000 -0.0008
640 0.3694 nan 0.1000 -0.0012
660 0.3633 nan 0.1000 -0.0011
680 0.3579 nan 0.1000 -0.0010
700 0.3524 nan 0.1000 -0.0009
720 0.3476 nan 0.1000 -0.0007
740 0.3445 nan 0.1000 -0.0013
760 0.3391 nan 0.1000 -0.0003
780 0.3348 nan 0.1000 -0.0013
800 0.3298 nan 0.1000 -0.0008
820 0.3242 nan 0.1000 -0.0010
840 0.3193 nan 0.1000 -0.0009
860 0.3139 nan 0.1000 -0.0009
880 0.3091 nan 0.1000 -0.0010
900 0.3025 nan 0.1000 -0.0016
920 0.2997 nan 0.1000 -0.0014
940 0.2964 nan 0.1000 -0.0011
960 0.2932 nan 0.1000 -0.0002
980 0.2886 nan 0.1000 -0.0004
1000 0.2848 nan 0.1000 -0.0009
1020 0.2823 nan 0.1000 -0.0010
1040 0.2799 nan 0.1000 -0.0012
1060 0.2770 nan 0.1000 -0.0011
1080 0.2747 nan 0.1000 -0.0009
1100 0.2714 nan 0.1000 -0.0004
- Fold06.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3259 nan 0.0100 0.0031
2 1.3203 nan 0.0100 0.0030
3 1.3141 nan 0.0100 0.0029
4 1.3080 nan 0.0100 0.0029
5 1.3027 nan 0.0100 0.0028
6 1.2971 nan 0.0100 0.0028
7 1.2910 nan 0.0100 0.0028
8 1.2857 nan 0.0100 0.0027
9 1.2801 nan 0.0100 0.0026
10 1.2749 nan 0.0100 0.0026
20 1.2280 nan 0.0100 0.0021
40 1.1556 nan 0.0100 0.0016
60 1.1063 nan 0.0100 0.0011
80 1.0664 nan 0.0100 0.0009
100 1.0351 nan 0.0100 0.0005
120 1.0085 nan 0.0100 0.0005
140 0.9870 nan 0.0100 0.0004
160 0.9679 nan 0.0100 0.0003
180 0.9520 nan 0.0100 0.0003
200 0.9379 nan 0.0100 0.0002
220 0.9256 nan 0.0100 0.0003
240 0.9144 nan 0.0100 0.0002
260 0.9042 nan 0.0100 0.0002
280 0.8952 nan 0.0100 0.0001
300 0.8867 nan 0.0100 0.0000
320 0.8791 nan 0.0100 -0.0000
340 0.8720 nan 0.0100 0.0001
360 0.8653 nan 0.0100 0.0001
380 0.8596 nan 0.0100 0.0001
400 0.8541 nan 0.0100 0.0000
420 0.8488 nan 0.0100 0.0000
440 0.8435 nan 0.0100 -0.0000
460 0.8386 nan 0.0100 -0.0001
480 0.8339 nan 0.0100 0.0000
500 0.8296 nan 0.0100 0.0000
520 0.8255 nan 0.0100 -0.0000
540 0.8219 nan 0.0100 0.0000
560 0.8183 nan 0.0100 0.0000
580 0.8148 nan 0.0100 -0.0001
600 0.8114 nan 0.0100 0.0000
620 0.8081 nan 0.0100 0.0001
640 0.8052 nan 0.0100 0.0000
660 0.8024 nan 0.0100 -0.0001
680 0.7994 nan 0.0100 0.0000
700 0.7966 nan 0.0100 -0.0000
720 0.7943 nan 0.0100 -0.0000
740 0.7918 nan 0.0100 -0.0000
760 0.7893 nan 0.0100 -0.0000
780 0.7873 nan 0.0100 -0.0000
800 0.7851 nan 0.0100 -0.0000
820 0.7831 nan 0.0100 -0.0001
840 0.7810 nan 0.0100 -0.0001
860 0.7790 nan 0.0100 -0.0001
880 0.7771 nan 0.0100 0.0000
900 0.7754 nan 0.0100 -0.0000
920 0.7736 nan 0.0100 -0.0000
940 0.7720 nan 0.0100 -0.0000
960 0.7701 nan 0.0100 -0.0000
980 0.7686 nan 0.0100 -0.0001
1000 0.7671 nan 0.0100 -0.0000
1020 0.7658 nan 0.0100 -0.0001
1040 0.7642 nan 0.0100 0.0000
1060 0.7626 nan 0.0100 0.0000
1080 0.7609 nan 0.0100 -0.0001
1100 0.7593 nan 0.0100 -0.0000
- Fold07.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3237 nan 0.0100 0.0037
2 1.3162 nan 0.0100 0.0034
3 1.3087 nan 0.0100 0.0037
4 1.3016 nan 0.0100 0.0035
5 1.2941 nan 0.0100 0.0036
6 1.2877 nan 0.0100 0.0034
7 1.2813 nan 0.0100 0.0035
8 1.2745 nan 0.0100 0.0034
9 1.2678 nan 0.0100 0.0031
10 1.2614 nan 0.0100 0.0030
20 1.2015 nan 0.0100 0.0028
40 1.1101 nan 0.0100 0.0017
60 1.0433 nan 0.0100 0.0013
80 0.9927 nan 0.0100 0.0010
100 0.9538 nan 0.0100 0.0008
120 0.9242 nan 0.0100 0.0004
140 0.8992 nan 0.0100 0.0004
160 0.8792 nan 0.0100 0.0003
180 0.8618 nan 0.0100 0.0004
200 0.8475 nan 0.0100 0.0003
220 0.8361 nan 0.0100 0.0001
240 0.8252 nan 0.0100 0.0001
260 0.8148 nan 0.0100 0.0001
280 0.8060 nan 0.0100 0.0001
300 0.7985 nan 0.0100 0.0000
320 0.7913 nan 0.0100 -0.0001
340 0.7849 nan 0.0100 0.0001
360 0.7786 nan 0.0100 0.0000
380 0.7726 nan 0.0100 0.0000
400 0.7671 nan 0.0100 0.0000
420 0.7621 nan 0.0100 -0.0000
440 0.7574 nan 0.0100 -0.0002
460 0.7528 nan 0.0100 -0.0001
480 0.7489 nan 0.0100 -0.0001
500 0.7449 nan 0.0100 -0.0002
520 0.7408 nan 0.0100 -0.0000
540 0.7375 nan 0.0100 0.0001
560 0.7338 nan 0.0100 0.0000
580 0.7301 nan 0.0100 -0.0001
600 0.7268 nan 0.0100 -0.0000
620 0.7235 nan 0.0100 -0.0001
640 0.7202 nan 0.0100 -0.0000
660 0.7175 nan 0.0100 -0.0001
680 0.7149 nan 0.0100 -0.0000
700 0.7121 nan 0.0100 -0.0001
720 0.7096 nan 0.0100 -0.0000
740 0.7073 nan 0.0100 -0.0001
760 0.7047 nan 0.0100 -0.0001
780 0.7025 nan 0.0100 -0.0001
800 0.7002 nan 0.0100 -0.0002
820 0.6982 nan 0.0100 -0.0000
840 0.6957 nan 0.0100 -0.0001
860 0.6938 nan 0.0100 -0.0001
880 0.6916 nan 0.0100 -0.0000
900 0.6897 nan 0.0100 -0.0000
920 0.6875 nan 0.0100 -0.0001
940 0.6859 nan 0.0100 -0.0001
960 0.6839 nan 0.0100 -0.0001
980 0.6819 nan 0.0100 -0.0001
1000 0.6799 nan 0.0100 -0.0001
1020 0.6778 nan 0.0100 -0.0001
1040 0.6762 nan 0.0100 -0.0000
1060 0.6744 nan 0.0100 -0.0001
1080 0.6725 nan 0.0100 -0.0001
1100 0.6705 nan 0.0100 -0.0001
- Fold07.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3234 nan 0.0100 0.0040
2 1.3149 nan 0.0100 0.0045
3 1.3070 nan 0.0100 0.0038
4 1.2992 nan 0.0100 0.0036
5 1.2914 nan 0.0100 0.0038
6 1.2834 nan 0.0100 0.0039
7 1.2756 nan 0.0100 0.0038
8 1.2686 nan 0.0100 0.0037
9 1.2611 nan 0.0100 0.0035
10 1.2534 nan 0.0100 0.0034
20 1.1886 nan 0.0100 0.0030
40 1.0868 nan 0.0100 0.0021
60 1.0141 nan 0.0100 0.0013
80 0.9585 nan 0.0100 0.0011
100 0.9177 nan 0.0100 0.0008
120 0.8862 nan 0.0100 0.0005
140 0.8603 nan 0.0100 0.0005
160 0.8409 nan 0.0100 0.0003
180 0.8241 nan 0.0100 0.0003
200 0.8100 nan 0.0100 0.0002
220 0.7974 nan 0.0100 -0.0000
240 0.7859 nan 0.0100 0.0002
260 0.7762 nan 0.0100 -0.0001
280 0.7675 nan 0.0100 -0.0001
300 0.7598 nan 0.0100 -0.0001
320 0.7527 nan 0.0100 -0.0000
340 0.7457 nan 0.0100 -0.0001
360 0.7393 nan 0.0100 -0.0000
380 0.7331 nan 0.0100 -0.0001
400 0.7275 nan 0.0100 -0.0002
420 0.7216 nan 0.0100 0.0001
440 0.7159 nan 0.0100 -0.0000
460 0.7103 nan 0.0100 -0.0001
480 0.7059 nan 0.0100 0.0000
500 0.7016 nan 0.0100 -0.0001
520 0.6973 nan 0.0100 -0.0001
540 0.6935 nan 0.0100 -0.0001
560 0.6896 nan 0.0100 -0.0000
580 0.6858 nan 0.0100 -0.0001
600 0.6821 nan 0.0100 -0.0001
620 0.6786 nan 0.0100 -0.0002
640 0.6754 nan 0.0100 -0.0001
660 0.6721 nan 0.0100 -0.0001
680 0.6690 nan 0.0100 -0.0002
700 0.6658 nan 0.0100 -0.0001
720 0.6631 nan 0.0100 -0.0001
740 0.6604 nan 0.0100 -0.0001
760 0.6572 nan 0.0100 -0.0001
780 0.6541 nan 0.0100 -0.0002
800 0.6511 nan 0.0100 -0.0003
820 0.6479 nan 0.0100 -0.0001
840 0.6447 nan 0.0100 -0.0001
860 0.6419 nan 0.0100 -0.0001
880 0.6392 nan 0.0100 -0.0001
900 0.6368 nan 0.0100 -0.0001
920 0.6338 nan 0.0100 -0.0001
940 0.6313 nan 0.0100 -0.0003
960 0.6291 nan 0.0100 -0.0001
980 0.6271 nan 0.0100 -0.0002
1000 0.6247 nan 0.0100 -0.0002
1020 0.6226 nan 0.0100 -0.0002
1040 0.6201 nan 0.0100 -0.0001
1060 0.6176 nan 0.0100 -0.0001
1080 0.6150 nan 0.0100 -0.0001
1100 0.6125 nan 0.0100 -0.0001
- Fold07.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2666 nan 0.1000 0.0291
2 1.2229 nan 0.1000 0.0242
3 1.1829 nan 0.1000 0.0198
4 1.1525 nan 0.1000 0.0166
5 1.1244 nan 0.1000 0.0135
6 1.1008 nan 0.1000 0.0114
7 1.0806 nan 0.1000 0.0091
8 1.0609 nan 0.1000 0.0080
9 1.0461 nan 0.1000 0.0067
10 1.0334 nan 0.1000 0.0055
20 0.9362 nan 0.1000 0.0023
40 0.8524 nan 0.1000 0.0003
60 0.8098 nan 0.1000 0.0001
80 0.7845 nan 0.1000 -0.0004
100 0.7670 nan 0.1000 -0.0008
120 0.7548 nan 0.1000 -0.0007
140 0.7444 nan 0.1000 -0.0009
160 0.7344 nan 0.1000 -0.0008
180 0.7271 nan 0.1000 -0.0005
200 0.7211 nan 0.1000 -0.0007
220 0.7144 nan 0.1000 -0.0005
240 0.7085 nan 0.1000 -0.0004
260 0.7046 nan 0.1000 -0.0005
280 0.7014 nan 0.1000 -0.0010
300 0.6972 nan 0.1000 -0.0014
320 0.6909 nan 0.1000 -0.0002
340 0.6880 nan 0.1000 -0.0004
360 0.6855 nan 0.1000 -0.0005
380 0.6826 nan 0.1000 -0.0004
400 0.6803 nan 0.1000 -0.0010
420 0.6777 nan 0.1000 -0.0009
440 0.6756 nan 0.1000 -0.0003
460 0.6739 nan 0.1000 -0.0007
480 0.6700 nan 0.1000 -0.0002
500 0.6682 nan 0.1000 -0.0012
520 0.6658 nan 0.1000 -0.0011
540 0.6633 nan 0.1000 -0.0010
560 0.6607 nan 0.1000 -0.0005
580 0.6586 nan 0.1000 -0.0014
600 0.6563 nan 0.1000 -0.0009
620 0.6553 nan 0.1000 -0.0009
640 0.6522 nan 0.1000 -0.0006
660 0.6505 nan 0.1000 -0.0003
680 0.6487 nan 0.1000 -0.0003
700 0.6466 nan 0.1000 -0.0004
720 0.6439 nan 0.1000 -0.0008
740 0.6415 nan 0.1000 -0.0005
760 0.6395 nan 0.1000 -0.0007
780 0.6384 nan 0.1000 -0.0014
800 0.6358 nan 0.1000 -0.0005
820 0.6339 nan 0.1000 -0.0006
840 0.6320 nan 0.1000 -0.0001
860 0.6308 nan 0.1000 -0.0015
880 0.6301 nan 0.1000 -0.0011
900 0.6283 nan 0.1000 -0.0006
920 0.6273 nan 0.1000 -0.0005
940 0.6268 nan 0.1000 -0.0015
960 0.6254 nan 0.1000 -0.0004
980 0.6238 nan 0.1000 -0.0011
1000 0.6232 nan 0.1000 -0.0004
1020 0.6215 nan 0.1000 -0.0010
1040 0.6209 nan 0.1000 -0.0004
1060 0.6201 nan 0.1000 -0.0009
1080 0.6192 nan 0.1000 -0.0008
1100 0.6184 nan 0.1000 -0.0007
- Fold07.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2543 nan 0.1000 0.0366
2 1.1905 nan 0.1000 0.0310
3 1.1441 nan 0.1000 0.0216
4 1.1024 nan 0.1000 0.0200
5 1.0670 nan 0.1000 0.0172
6 1.0335 nan 0.1000 0.0158
7 1.0063 nan 0.1000 0.0123
8 0.9828 nan 0.1000 0.0104
9 0.9637 nan 0.1000 0.0082
10 0.9461 nan 0.1000 0.0091
20 0.8474 nan 0.1000 0.0019
40 0.7676 nan 0.1000 0.0001
60 0.7265 nan 0.1000 0.0005
80 0.7036 nan 0.1000 -0.0010
100 0.6826 nan 0.1000 -0.0002
120 0.6630 nan 0.1000 -0.0006
140 0.6492 nan 0.1000 -0.0012
160 0.6348 nan 0.1000 -0.0015
180 0.6239 nan 0.1000 -0.0003
200 0.6129 nan 0.1000 -0.0012
220 0.6009 nan 0.1000 -0.0012
240 0.5907 nan 0.1000 -0.0004
260 0.5817 nan 0.1000 -0.0009
280 0.5730 nan 0.1000 -0.0012
300 0.5644 nan 0.1000 -0.0012
320 0.5579 nan 0.1000 -0.0017
340 0.5504 nan 0.1000 -0.0010
360 0.5446 nan 0.1000 -0.0012
380 0.5373 nan 0.1000 -0.0009
400 0.5292 nan 0.1000 -0.0011
420 0.5232 nan 0.1000 -0.0023
440 0.5160 nan 0.1000 -0.0013
460 0.5077 nan 0.1000 -0.0003
480 0.5012 nan 0.1000 -0.0012
500 0.4945 nan 0.1000 -0.0008
520 0.4916 nan 0.1000 -0.0014
540 0.4864 nan 0.1000 -0.0008
560 0.4790 nan 0.1000 -0.0007
580 0.4751 nan 0.1000 -0.0010
600 0.4714 nan 0.1000 -0.0006
620 0.4652 nan 0.1000 -0.0008
640 0.4628 nan 0.1000 -0.0014
660 0.4567 nan 0.1000 -0.0007
680 0.4514 nan 0.1000 -0.0019
700 0.4469 nan 0.1000 -0.0012
720 0.4409 nan 0.1000 -0.0008
740 0.4374 nan 0.1000 -0.0008
760 0.4319 nan 0.1000 -0.0007
780 0.4283 nan 0.1000 -0.0009
800 0.4248 nan 0.1000 -0.0006
820 0.4211 nan 0.1000 -0.0014
840 0.4167 nan 0.1000 -0.0010
860 0.4122 nan 0.1000 -0.0003
880 0.4100 nan 0.1000 -0.0007
900 0.4076 nan 0.1000 -0.0008
920 0.4023 nan 0.1000 -0.0008
940 0.3992 nan 0.1000 -0.0019
960 0.3953 nan 0.1000 -0.0010
980 0.3906 nan 0.1000 -0.0004
1000 0.3881 nan 0.1000 -0.0013
1020 0.3861 nan 0.1000 -0.0015
1040 0.3842 nan 0.1000 -0.0007
1060 0.3815 nan 0.1000 -0.0006
1080 0.3771 nan 0.1000 -0.0009
1100 0.3743 nan 0.1000 -0.0007
- Fold07.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2508 nan 0.1000 0.0398
2 1.1812 nan 0.1000 0.0296
3 1.1247 nan 0.1000 0.0270
4 1.0767 nan 0.1000 0.0223
5 1.0328 nan 0.1000 0.0190
6 0.9981 nan 0.1000 0.0156
7 0.9701 nan 0.1000 0.0130
8 0.9458 nan 0.1000 0.0117
9 0.9262 nan 0.1000 0.0087
10 0.9082 nan 0.1000 0.0070
20 0.8034 nan 0.1000 0.0011
40 0.7265 nan 0.1000 0.0000
60 0.6878 nan 0.1000 -0.0003
80 0.6548 nan 0.1000 -0.0005
100 0.6289 nan 0.1000 -0.0009
120 0.6088 nan 0.1000 -0.0016
140 0.5867 nan 0.1000 -0.0009
160 0.5715 nan 0.1000 -0.0014
180 0.5553 nan 0.1000 -0.0003
200 0.5400 nan 0.1000 -0.0018
220 0.5230 nan 0.1000 -0.0016
240 0.5116 nan 0.1000 -0.0011
260 0.4987 nan 0.1000 -0.0005
280 0.4876 nan 0.1000 -0.0015
300 0.4768 nan 0.1000 -0.0002
320 0.4664 nan 0.1000 -0.0015
340 0.4576 nan 0.1000 -0.0010
360 0.4480 nan 0.1000 -0.0014
380 0.4387 nan 0.1000 -0.0016
400 0.4272 nan 0.1000 -0.0010
420 0.4178 nan 0.1000 -0.0010
440 0.4115 nan 0.1000 -0.0014
460 0.4032 nan 0.1000 -0.0023
480 0.3962 nan 0.1000 -0.0017
500 0.3872 nan 0.1000 -0.0008
520 0.3830 nan 0.1000 -0.0012
540 0.3790 nan 0.1000 -0.0004
560 0.3706 nan 0.1000 -0.0010
580 0.3629 nan 0.1000 -0.0010
600 0.3563 nan 0.1000 -0.0015
620 0.3514 nan 0.1000 -0.0007
640 0.3437 nan 0.1000 -0.0011
660 0.3393 nan 0.1000 -0.0011
680 0.3342 nan 0.1000 -0.0003
700 0.3284 nan 0.1000 -0.0004
720 0.3255 nan 0.1000 -0.0013
740 0.3219 nan 0.1000 -0.0007
760 0.3173 nan 0.1000 -0.0011
780 0.3128 nan 0.1000 -0.0017
800 0.3086 nan 0.1000 -0.0005
820 0.3037 nan 0.1000 -0.0009
840 0.2987 nan 0.1000 -0.0010
860 0.2960 nan 0.1000 -0.0012
880 0.2912 nan 0.1000 -0.0020
900 0.2862 nan 0.1000 -0.0009
920 0.2821 nan 0.1000 -0.0009
940 0.2788 nan 0.1000 -0.0010
960 0.2736 nan 0.1000 -0.0007
980 0.2712 nan 0.1000 -0.0008
1000 0.2681 nan 0.1000 -0.0007
1020 0.2646 nan 0.1000 -0.0010
1040 0.2601 nan 0.1000 -0.0006
1060 0.2567 nan 0.1000 -0.0005
1080 0.2542 nan 0.1000 -0.0015
1100 0.2508 nan 0.1000 -0.0008
- Fold07.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3259 nan 0.0100 0.0027
2 1.3205 nan 0.0100 0.0028
3 1.3146 nan 0.0100 0.0026
4 1.3089 nan 0.0100 0.0028
5 1.3036 nan 0.0100 0.0027
6 1.2984 nan 0.0100 0.0025
7 1.2927 nan 0.0100 0.0027
8 1.2871 nan 0.0100 0.0026
9 1.2820 nan 0.0100 0.0024
10 1.2766 nan 0.0100 0.0024
20 1.2339 nan 0.0100 0.0020
40 1.1671 nan 0.0100 0.0008
60 1.1167 nan 0.0100 0.0009
80 1.0814 nan 0.0100 0.0006
100 1.0528 nan 0.0100 0.0004
120 1.0276 nan 0.0100 0.0005
140 1.0069 nan 0.0100 0.0004
160 0.9899 nan 0.0100 0.0003
180 0.9756 nan 0.0100 0.0003
200 0.9633 nan 0.0100 0.0003
220 0.9516 nan 0.0100 0.0001
240 0.9415 nan 0.0100 0.0002
260 0.9331 nan 0.0100 0.0002
280 0.9251 nan 0.0100 0.0002
300 0.9176 nan 0.0100 -0.0000
320 0.9109 nan 0.0100 0.0001
340 0.9054 nan 0.0100 0.0001
360 0.8996 nan 0.0100 0.0001
380 0.8945 nan 0.0100 -0.0001
400 0.8896 nan 0.0100 0.0001
420 0.8848 nan 0.0100 0.0000
440 0.8803 nan 0.0100 0.0000
460 0.8760 nan 0.0100 0.0000
480 0.8722 nan 0.0100 0.0001
500 0.8684 nan 0.0100 -0.0000
520 0.8646 nan 0.0100 0.0000
540 0.8608 nan 0.0100 0.0000
560 0.8571 nan 0.0100 -0.0001
580 0.8541 nan 0.0100 -0.0000
600 0.8509 nan 0.0100 0.0000
620 0.8479 nan 0.0100 0.0000
640 0.8449 nan 0.0100 -0.0000
660 0.8421 nan 0.0100 -0.0000
680 0.8397 nan 0.0100 -0.0000
700 0.8373 nan 0.0100 -0.0000
720 0.8348 nan 0.0100 -0.0002
740 0.8325 nan 0.0100 0.0000
760 0.8303 nan 0.0100 0.0000
780 0.8282 nan 0.0100 0.0000
800 0.8261 nan 0.0100 -0.0002
820 0.8240 nan 0.0100 -0.0000
840 0.8220 nan 0.0100 -0.0001
860 0.8201 nan 0.0100 0.0000
880 0.8183 nan 0.0100 -0.0001
900 0.8163 nan 0.0100 0.0000
920 0.8147 nan 0.0100 -0.0001
940 0.8130 nan 0.0100 -0.0000
960 0.8114 nan 0.0100 -0.0001
980 0.8098 nan 0.0100 -0.0000
1000 0.8084 nan 0.0100 -0.0001
1020 0.8067 nan 0.0100 -0.0000
1040 0.8054 nan 0.0100 -0.0000
1060 0.8040 nan 0.0100 -0.0000
1080 0.8024 nan 0.0100 -0.0000
1100 0.8012 nan 0.0100 -0.0001
- Fold08.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3249 nan 0.0100 0.0034
2 1.3181 nan 0.0100 0.0033
3 1.3111 nan 0.0100 0.0030
4 1.3047 nan 0.0100 0.0033
5 1.2984 nan 0.0100 0.0033
6 1.2917 nan 0.0100 0.0032
7 1.2857 nan 0.0100 0.0030
8 1.2795 nan 0.0100 0.0029
9 1.2733 nan 0.0100 0.0030
10 1.2672 nan 0.0100 0.0029
20 1.2113 nan 0.0100 0.0024
40 1.1277 nan 0.0100 0.0018
60 1.0651 nan 0.0100 0.0013
80 1.0186 nan 0.0100 0.0010
100 0.9818 nan 0.0100 0.0003
120 0.9554 nan 0.0100 0.0003
140 0.9333 nan 0.0100 0.0004
160 0.9151 nan 0.0100 0.0002
180 0.9006 nan 0.0100 0.0003
200 0.8858 nan 0.0100 0.0002
220 0.8744 nan 0.0100 0.0001
240 0.8642 nan 0.0100 0.0000
260 0.8547 nan 0.0100 0.0001
280 0.8465 nan 0.0100 0.0000
300 0.8392 nan 0.0100 0.0001
320 0.8324 nan 0.0100 -0.0000
340 0.8262 nan 0.0100 0.0000
360 0.8200 nan 0.0100 -0.0001
380 0.8144 nan 0.0100 0.0001
400 0.8096 nan 0.0100 0.0000
420 0.8042 nan 0.0100 -0.0000
440 0.7995 nan 0.0100 -0.0001
460 0.7956 nan 0.0100 -0.0001
480 0.7913 nan 0.0100 -0.0001
500 0.7872 nan 0.0100 -0.0000
520 0.7834 nan 0.0100 0.0000
540 0.7798 nan 0.0100 -0.0000
560 0.7762 nan 0.0100 -0.0000
580 0.7731 nan 0.0100 -0.0001
600 0.7694 nan 0.0100 -0.0000
620 0.7661 nan 0.0100 -0.0001
640 0.7629 nan 0.0100 -0.0000
660 0.7600 nan 0.0100 -0.0000
680 0.7569 nan 0.0100 -0.0001
700 0.7541 nan 0.0100 -0.0000
720 0.7510 nan 0.0100 -0.0001
740 0.7483 nan 0.0100 -0.0001
760 0.7461 nan 0.0100 -0.0001
780 0.7441 nan 0.0100 -0.0001
800 0.7420 nan 0.0100 -0.0001
820 0.7395 nan 0.0100 -0.0001
840 0.7369 nan 0.0100 -0.0000
860 0.7341 nan 0.0100 -0.0001
880 0.7319 nan 0.0100 -0.0001
900 0.7297 nan 0.0100 -0.0001
920 0.7280 nan 0.0100 -0.0001
940 0.7258 nan 0.0100 -0.0001
960 0.7235 nan 0.0100 -0.0001
980 0.7217 nan 0.0100 -0.0001
1000 0.7197 nan 0.0100 -0.0001
1020 0.7177 nan 0.0100 -0.0001
1040 0.7161 nan 0.0100 -0.0001
1060 0.7143 nan 0.0100 -0.0001
1080 0.7123 nan 0.0100 -0.0000
1100 0.7109 nan 0.0100 -0.0001
- Fold08.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3243 nan 0.0100 0.0038
2 1.3167 nan 0.0100 0.0036
3 1.3089 nan 0.0100 0.0039
4 1.3019 nan 0.0100 0.0036
5 1.2953 nan 0.0100 0.0032
6 1.2881 nan 0.0100 0.0033
7 1.2809 nan 0.0100 0.0032
8 1.2739 nan 0.0100 0.0035
9 1.2671 nan 0.0100 0.0032
10 1.2603 nan 0.0100 0.0032
20 1.1998 nan 0.0100 0.0024
40 1.1049 nan 0.0100 0.0021
60 1.0378 nan 0.0100 0.0014
80 0.9866 nan 0.0100 0.0009
100 0.9490 nan 0.0100 0.0005
120 0.9199 nan 0.0100 0.0005
140 0.8960 nan 0.0100 0.0005
160 0.8775 nan 0.0100 0.0002
180 0.8616 nan 0.0100 0.0003
200 0.8479 nan 0.0100 0.0001
220 0.8353 nan 0.0100 0.0001
240 0.8243 nan 0.0100 -0.0000
260 0.8149 nan 0.0100 -0.0000
280 0.8064 nan 0.0100 0.0000
300 0.7981 nan 0.0100 0.0000
320 0.7905 nan 0.0100 -0.0000
340 0.7839 nan 0.0100 -0.0001
360 0.7778 nan 0.0100 -0.0001
380 0.7718 nan 0.0100 -0.0001
400 0.7663 nan 0.0100 -0.0001
420 0.7610 nan 0.0100 -0.0000
440 0.7557 nan 0.0100 -0.0000
460 0.7505 nan 0.0100 -0.0000
480 0.7458 nan 0.0100 -0.0000
500 0.7406 nan 0.0100 -0.0000
520 0.7364 nan 0.0100 -0.0000
540 0.7322 nan 0.0100 -0.0002
560 0.7277 nan 0.0100 -0.0001
580 0.7243 nan 0.0100 -0.0001
600 0.7209 nan 0.0100 -0.0001
620 0.7172 nan 0.0100 0.0000
640 0.7137 nan 0.0100 -0.0001
660 0.7097 nan 0.0100 -0.0001
680 0.7060 nan 0.0100 -0.0001
700 0.7025 nan 0.0100 -0.0001
720 0.6995 nan 0.0100 -0.0001
740 0.6962 nan 0.0100 -0.0001
760 0.6930 nan 0.0100 -0.0002
780 0.6899 nan 0.0100 -0.0001
800 0.6870 nan 0.0100 -0.0001
820 0.6838 nan 0.0100 -0.0001
840 0.6805 nan 0.0100 -0.0002
860 0.6776 nan 0.0100 -0.0000
880 0.6749 nan 0.0100 -0.0001
900 0.6718 nan 0.0100 -0.0000
920 0.6693 nan 0.0100 -0.0000
940 0.6667 nan 0.0100 -0.0001
960 0.6638 nan 0.0100 -0.0001
980 0.6612 nan 0.0100 -0.0000
1000 0.6588 nan 0.0100 -0.0000
1020 0.6563 nan 0.0100 -0.0000
1040 0.6538 nan 0.0100 -0.0001
1060 0.6521 nan 0.0100 -0.0002
1080 0.6492 nan 0.0100 0.0001
1100 0.6466 nan 0.0100 -0.0002
- Fold08.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2749 nan 0.1000 0.0278
2 1.2317 nan 0.1000 0.0227
3 1.2004 nan 0.1000 0.0182
4 1.1667 nan 0.1000 0.0162
5 1.1385 nan 0.1000 0.0125
6 1.1161 nan 0.1000 0.0108
7 1.0981 nan 0.1000 0.0091
8 1.0840 nan 0.1000 0.0078
9 1.0684 nan 0.1000 0.0069
10 1.0544 nan 0.1000 0.0060
20 0.9618 nan 0.1000 0.0010
40 0.8867 nan 0.1000 -0.0000
60 0.8488 nan 0.1000 -0.0003
80 0.8261 nan 0.1000 0.0001
100 0.8095 nan 0.1000 -0.0007
120 0.7985 nan 0.1000 -0.0005
140 0.7869 nan 0.1000 -0.0015
160 0.7789 nan 0.1000 -0.0009
180 0.7719 nan 0.1000 -0.0015
200 0.7641 nan 0.1000 -0.0004
220 0.7578 nan 0.1000 -0.0009
240 0.7519 nan 0.1000 -0.0013
260 0.7468 nan 0.1000 0.0000
280 0.7427 nan 0.1000 -0.0008
300 0.7387 nan 0.1000 -0.0010
320 0.7340 nan 0.1000 -0.0008
340 0.7308 nan 0.1000 -0.0006
360 0.7263 nan 0.1000 -0.0007
380 0.7230 nan 0.1000 -0.0006
400 0.7198 nan 0.1000 -0.0004
420 0.7168 nan 0.1000 -0.0004
440 0.7127 nan 0.1000 -0.0004
460 0.7100 nan 0.1000 -0.0004
480 0.7067 nan 0.1000 -0.0006
500 0.7055 nan 0.1000 -0.0007
520 0.7030 nan 0.1000 -0.0008
540 0.6996 nan 0.1000 -0.0009
560 0.6969 nan 0.1000 -0.0008
580 0.6940 nan 0.1000 -0.0003
600 0.6905 nan 0.1000 -0.0009
620 0.6885 nan 0.1000 -0.0006
640 0.6868 nan 0.1000 -0.0004
660 0.6845 nan 0.1000 -0.0003
680 0.6829 nan 0.1000 -0.0008
700 0.6810 nan 0.1000 -0.0009
720 0.6796 nan 0.1000 -0.0008
740 0.6790 nan 0.1000 -0.0005
760 0.6772 nan 0.1000 -0.0006
780 0.6746 nan 0.1000 -0.0009
800 0.6732 nan 0.1000 -0.0007
820 0.6714 nan 0.1000 -0.0010
840 0.6694 nan 0.1000 -0.0007
860 0.6668 nan 0.1000 -0.0008
880 0.6651 nan 0.1000 -0.0004
900 0.6636 nan 0.1000 -0.0008
920 0.6624 nan 0.1000 -0.0008
940 0.6599 nan 0.1000 -0.0008
960 0.6582 nan 0.1000 -0.0004
980 0.6567 nan 0.1000 -0.0003
1000 0.6555 nan 0.1000 -0.0007
1020 0.6546 nan 0.1000 -0.0010
1040 0.6515 nan 0.1000 -0.0002
1060 0.6520 nan 0.1000 -0.0008
1080 0.6503 nan 0.1000 -0.0014
1100 0.6491 nan 0.1000 -0.0006
- Fold08.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2651 nan 0.1000 0.0335
2 1.2074 nan 0.1000 0.0287
3 1.1628 nan 0.1000 0.0217
4 1.1244 nan 0.1000 0.0192
5 1.0921 nan 0.1000 0.0162
6 1.0608 nan 0.1000 0.0141
7 1.0330 nan 0.1000 0.0117
8 1.0131 nan 0.1000 0.0093
9 0.9941 nan 0.1000 0.0078
10 0.9782 nan 0.1000 0.0057
20 0.8917 nan 0.1000 -0.0004
40 0.8101 nan 0.1000 0.0006
60 0.7703 nan 0.1000 0.0005
80 0.7414 nan 0.1000 -0.0003
100 0.7225 nan 0.1000 -0.0003
120 0.7084 nan 0.1000 -0.0011
140 0.6934 nan 0.1000 0.0006
160 0.6784 nan 0.1000 -0.0011
180 0.6625 nan 0.1000 -0.0010
200 0.6506 nan 0.1000 -0.0014
220 0.6382 nan 0.1000 -0.0003
240 0.6263 nan 0.1000 -0.0005
260 0.6161 nan 0.1000 -0.0015
280 0.6050 nan 0.1000 -0.0006
300 0.5912 nan 0.1000 -0.0008
320 0.5816 nan 0.1000 -0.0010
340 0.5743 nan 0.1000 -0.0002
360 0.5658 nan 0.1000 -0.0007
380 0.5576 nan 0.1000 -0.0013
400 0.5497 nan 0.1000 -0.0005
420 0.5415 nan 0.1000 -0.0006
440 0.5354 nan 0.1000 -0.0011
460 0.5265 nan 0.1000 -0.0009
480 0.5235 nan 0.1000 -0.0023
500 0.5199 nan 0.1000 -0.0008
520 0.5142 nan 0.1000 -0.0012
540 0.5092 nan 0.1000 -0.0007
560 0.5027 nan 0.1000 -0.0008
580 0.4967 nan 0.1000 -0.0011
600 0.4904 nan 0.1000 -0.0013
620 0.4855 nan 0.1000 -0.0009
640 0.4780 nan 0.1000 -0.0010
660 0.4720 nan 0.1000 -0.0007
680 0.4667 nan 0.1000 -0.0004
700 0.4608 nan 0.1000 -0.0011
720 0.4558 nan 0.1000 -0.0009
740 0.4526 nan 0.1000 -0.0014
760 0.4472 nan 0.1000 -0.0016
780 0.4435 nan 0.1000 -0.0006
800 0.4400 nan 0.1000 -0.0008
820 0.4342 nan 0.1000 -0.0004
840 0.4300 nan 0.1000 -0.0003
860 0.4274 nan 0.1000 -0.0008
880 0.4227 nan 0.1000 -0.0007
900 0.4195 nan 0.1000 -0.0006
920 0.4153 nan 0.1000 -0.0006
940 0.4118 nan 0.1000 -0.0008
960 0.4071 nan 0.1000 -0.0007
980 0.4031 nan 0.1000 -0.0009
1000 0.4011 nan 0.1000 -0.0005
1020 0.3983 nan 0.1000 -0.0010
1040 0.3936 nan 0.1000 -0.0013
1060 0.3910 nan 0.1000 -0.0010
1080 0.3861 nan 0.1000 -0.0007
1100 0.3818 nan 0.1000 -0.0006
- Fold08.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2531 nan 0.1000 0.0359
2 1.1865 nan 0.1000 0.0288
3 1.1348 nan 0.1000 0.0244
4 1.0943 nan 0.1000 0.0205
5 1.0586 nan 0.1000 0.0167
6 1.0272 nan 0.1000 0.0144
7 0.9995 nan 0.1000 0.0130
8 0.9772 nan 0.1000 0.0101
9 0.9562 nan 0.1000 0.0068
10 0.9406 nan 0.1000 0.0068
20 0.8476 nan 0.1000 0.0019
40 0.7736 nan 0.1000 -0.0009
60 0.7218 nan 0.1000 -0.0015
80 0.6909 nan 0.1000 -0.0018
100 0.6632 nan 0.1000 -0.0017
120 0.6395 nan 0.1000 -0.0007
140 0.6187 nan 0.1000 -0.0015
160 0.5976 nan 0.1000 -0.0025
180 0.5744 nan 0.1000 -0.0009
200 0.5592 nan 0.1000 -0.0005
220 0.5441 nan 0.1000 -0.0009
240 0.5310 nan 0.1000 -0.0008
260 0.5183 nan 0.1000 -0.0016
280 0.5053 nan 0.1000 -0.0012
300 0.4931 nan 0.1000 -0.0011
320 0.4824 nan 0.1000 -0.0006
340 0.4722 nan 0.1000 -0.0004
360 0.4597 nan 0.1000 -0.0016
380 0.4508 nan 0.1000 -0.0024
400 0.4406 nan 0.1000 -0.0006
420 0.4312 nan 0.1000 -0.0018
440 0.4217 nan 0.1000 -0.0010
460 0.4136 nan 0.1000 -0.0010
480 0.4062 nan 0.1000 -0.0011
500 0.3981 nan 0.1000 -0.0012
520 0.3891 nan 0.1000 -0.0006
540 0.3815 nan 0.1000 -0.0005
560 0.3751 nan 0.1000 -0.0005
580 0.3681 nan 0.1000 -0.0011
600 0.3630 nan 0.1000 -0.0008
620 0.3580 nan 0.1000 -0.0011
640 0.3513 nan 0.1000 -0.0007
660 0.3471 nan 0.1000 -0.0004
680 0.3412 nan 0.1000 -0.0006
700 0.3333 nan 0.1000 -0.0008
720 0.3307 nan 0.1000 -0.0004
740 0.3258 nan 0.1000 -0.0007
760 0.3222 nan 0.1000 -0.0021
780 0.3174 nan 0.1000 -0.0004
800 0.3127 nan 0.1000 -0.0006
820 0.3086 nan 0.1000 -0.0014
840 0.3047 nan 0.1000 -0.0007
860 0.3010 nan 0.1000 -0.0010
880 0.2975 nan 0.1000 -0.0009
900 0.2932 nan 0.1000 -0.0011
920 0.2891 nan 0.1000 -0.0011
940 0.2848 nan 0.1000 -0.0012
960 0.2816 nan 0.1000 -0.0014
980 0.2778 nan 0.1000 -0.0007
1000 0.2740 nan 0.1000 -0.0007
1020 0.2710 nan 0.1000 -0.0012
1040 0.2686 nan 0.1000 -0.0008
1060 0.2632 nan 0.1000 -0.0009
1080 0.2604 nan 0.1000 -0.0007
1100 0.2573 nan 0.1000 -0.0006
- Fold08.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3251 nan 0.0100 0.0030
2 1.3187 nan 0.0100 0.0030
3 1.3128 nan 0.0100 0.0030
4 1.3068 nan 0.0100 0.0028
5 1.3014 nan 0.0100 0.0027
6 1.2956 nan 0.0100 0.0027
7 1.2897 nan 0.0100 0.0026
8 1.2844 nan 0.0100 0.0027
9 1.2790 nan 0.0100 0.0025
10 1.2741 nan 0.0100 0.0025
20 1.2272 nan 0.0100 0.0020
40 1.1558 nan 0.0100 0.0015
60 1.1076 nan 0.0100 0.0011
80 1.0704 nan 0.0100 0.0007
100 1.0406 nan 0.0100 0.0006
120 1.0158 nan 0.0100 0.0005
140 0.9952 nan 0.0100 0.0003
160 0.9776 nan 0.0100 0.0003
180 0.9630 nan 0.0100 0.0003
200 0.9498 nan 0.0100 0.0003
220 0.9384 nan 0.0100 0.0001
240 0.9276 nan 0.0100 0.0002
260 0.9180 nan 0.0100 0.0001
280 0.9097 nan 0.0100 0.0001
300 0.9018 nan 0.0100 0.0001
320 0.8948 nan 0.0100 0.0002
340 0.8886 nan 0.0100 -0.0001
360 0.8826 nan 0.0100 0.0001
380 0.8769 nan 0.0100 0.0000
400 0.8713 nan 0.0100 0.0000
420 0.8663 nan 0.0100 0.0000
440 0.8615 nan 0.0100 0.0000
460 0.8571 nan 0.0100 0.0001
480 0.8531 nan 0.0100 -0.0000
500 0.8494 nan 0.0100 -0.0001
520 0.8458 nan 0.0100 -0.0001
540 0.8426 nan 0.0100 0.0000
560 0.8392 nan 0.0100 0.0000
580 0.8361 nan 0.0100 0.0000
600 0.8331 nan 0.0100 0.0000
620 0.8302 nan 0.0100 0.0000
640 0.8275 nan 0.0100 0.0000
660 0.8249 nan 0.0100 -0.0000
680 0.8224 nan 0.0100 -0.0000
700 0.8200 nan 0.0100 -0.0000
720 0.8177 nan 0.0100 0.0000
740 0.8153 nan 0.0100 0.0000
760 0.8133 nan 0.0100 -0.0000
780 0.8110 nan 0.0100 0.0000
800 0.8093 nan 0.0100 -0.0000
820 0.8073 nan 0.0100 -0.0001
840 0.8055 nan 0.0100 -0.0000
860 0.8038 nan 0.0100 -0.0000
880 0.8018 nan 0.0100 -0.0001
900 0.8001 nan 0.0100 0.0000
920 0.7984 nan 0.0100 -0.0001
940 0.7970 nan 0.0100 -0.0000
960 0.7954 nan 0.0100 -0.0000
980 0.7943 nan 0.0100 -0.0001
1000 0.7928 nan 0.0100 -0.0000
1020 0.7914 nan 0.0100 -0.0000
1040 0.7899 nan 0.0100 -0.0000
1060 0.7884 nan 0.0100 -0.0000
1080 0.7870 nan 0.0100 0.0000
1100 0.7858 nan 0.0100 -0.0000
- Fold09.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3244 nan 0.0100 0.0037
2 1.3165 nan 0.0100 0.0037
3 1.3092 nan 0.0100 0.0035
4 1.3019 nan 0.0100 0.0033
5 1.2943 nan 0.0100 0.0035
6 1.2875 nan 0.0100 0.0034
7 1.2806 nan 0.0100 0.0034
8 1.2739 nan 0.0100 0.0031
9 1.2674 nan 0.0100 0.0031
10 1.2608 nan 0.0100 0.0031
20 1.2022 nan 0.0100 0.0026
40 1.1118 nan 0.0100 0.0017
60 1.0468 nan 0.0100 0.0014
80 0.9989 nan 0.0100 0.0009
100 0.9637 nan 0.0100 0.0005
120 0.9340 nan 0.0100 0.0005
140 0.9099 nan 0.0100 0.0004
160 0.8911 nan 0.0100 0.0002
180 0.8752 nan 0.0100 0.0002
200 0.8623 nan 0.0100 0.0001
220 0.8507 nan 0.0100 -0.0000
240 0.8408 nan 0.0100 0.0000
260 0.8311 nan 0.0100 0.0001
280 0.8230 nan 0.0100 -0.0000
300 0.8162 nan 0.0100 -0.0000
320 0.8093 nan 0.0100 0.0000
340 0.8029 nan 0.0100 -0.0000
360 0.7971 nan 0.0100 0.0001
380 0.7916 nan 0.0100 -0.0000
400 0.7867 nan 0.0100 -0.0000
420 0.7827 nan 0.0100 -0.0001
440 0.7782 nan 0.0100 0.0000
460 0.7741 nan 0.0100 -0.0001
480 0.7704 nan 0.0100 -0.0001
500 0.7668 nan 0.0100 -0.0001
520 0.7634 nan 0.0100 -0.0001
540 0.7599 nan 0.0100 -0.0001
560 0.7568 nan 0.0100 -0.0001
580 0.7537 nan 0.0100 -0.0001
600 0.7512 nan 0.0100 -0.0001
620 0.7479 nan 0.0100 -0.0000
640 0.7452 nan 0.0100 -0.0001
660 0.7424 nan 0.0100 -0.0001
680 0.7396 nan 0.0100 -0.0000
700 0.7374 nan 0.0100 -0.0002
720 0.7351 nan 0.0100 -0.0001
740 0.7328 nan 0.0100 -0.0000
760 0.7307 nan 0.0100 -0.0001
780 0.7286 nan 0.0100 -0.0001
800 0.7266 nan 0.0100 -0.0001
820 0.7245 nan 0.0100 -0.0001
840 0.7228 nan 0.0100 -0.0001
860 0.7201 nan 0.0100 -0.0001
880 0.7184 nan 0.0100 -0.0001
900 0.7162 nan 0.0100 -0.0000
920 0.7141 nan 0.0100 -0.0001
940 0.7123 nan 0.0100 -0.0001
960 0.7105 nan 0.0100 -0.0002
980 0.7089 nan 0.0100 -0.0001
1000 0.7071 nan 0.0100 -0.0001
1020 0.7054 nan 0.0100 -0.0001
1040 0.7035 nan 0.0100 -0.0001
1060 0.7018 nan 0.0100 -0.0000
1080 0.7001 nan 0.0100 -0.0001
1100 0.6983 nan 0.0100 -0.0000
- Fold09.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3238 nan 0.0100 0.0039
2 1.3159 nan 0.0100 0.0038
3 1.3081 nan 0.0100 0.0037
4 1.3002 nan 0.0100 0.0038
5 1.2922 nan 0.0100 0.0039
6 1.2847 nan 0.0100 0.0039
7 1.2773 nan 0.0100 0.0038
8 1.2698 nan 0.0100 0.0036
9 1.2628 nan 0.0100 0.0034
10 1.2558 nan 0.0100 0.0036
20 1.1931 nan 0.0100 0.0028
40 1.0931 nan 0.0100 0.0018
60 1.0208 nan 0.0100 0.0013
80 0.9676 nan 0.0100 0.0011
100 0.9279 nan 0.0100 0.0007
120 0.8972 nan 0.0100 0.0003
140 0.8726 nan 0.0100 0.0005
160 0.8534 nan 0.0100 0.0001
180 0.8374 nan 0.0100 0.0000
200 0.8230 nan 0.0100 0.0002
220 0.8110 nan 0.0100 0.0002
240 0.8002 nan 0.0100 0.0001
260 0.7912 nan 0.0100 0.0000
280 0.7831 nan 0.0100 0.0000
300 0.7755 nan 0.0100 0.0000
320 0.7693 nan 0.0100 -0.0000
340 0.7625 nan 0.0100 -0.0000
360 0.7567 nan 0.0100 0.0001
380 0.7511 nan 0.0100 -0.0000
400 0.7463 nan 0.0100 -0.0001
420 0.7418 nan 0.0100 -0.0001
440 0.7367 nan 0.0100 -0.0001
460 0.7326 nan 0.0100 -0.0001
480 0.7287 nan 0.0100 -0.0001
500 0.7244 nan 0.0100 -0.0000
520 0.7206 nan 0.0100 -0.0001
540 0.7169 nan 0.0100 -0.0002
560 0.7134 nan 0.0100 -0.0001
580 0.7098 nan 0.0100 -0.0002
600 0.7064 nan 0.0100 -0.0001
620 0.7034 nan 0.0100 -0.0001
640 0.6996 nan 0.0100 -0.0000
660 0.6966 nan 0.0100 -0.0001
680 0.6931 nan 0.0100 -0.0001
700 0.6896 nan 0.0100 -0.0000
720 0.6868 nan 0.0100 -0.0001
740 0.6842 nan 0.0100 -0.0002
760 0.6816 nan 0.0100 -0.0001
780 0.6785 nan 0.0100 -0.0001
800 0.6754 nan 0.0100 -0.0001
820 0.6725 nan 0.0100 -0.0001
840 0.6692 nan 0.0100 -0.0002
860 0.6665 nan 0.0100 -0.0001
880 0.6636 nan 0.0100 -0.0001
900 0.6610 nan 0.0100 -0.0002
920 0.6581 nan 0.0100 -0.0001
940 0.6557 nan 0.0100 -0.0001
960 0.6533 nan 0.0100 -0.0001
980 0.6506 nan 0.0100 -0.0001
1000 0.6482 nan 0.0100 -0.0001
1020 0.6460 nan 0.0100 -0.0001
1040 0.6439 nan 0.0100 -0.0002
1060 0.6412 nan 0.0100 -0.0001
1080 0.6390 nan 0.0100 -0.0001
1100 0.6368 nan 0.0100 -0.0001
- Fold09.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2676 nan 0.1000 0.0274
2 1.2192 nan 0.1000 0.0238
3 1.1824 nan 0.1000 0.0180
4 1.1511 nan 0.1000 0.0162
5 1.1208 nan 0.1000 0.0131
6 1.1013 nan 0.1000 0.0108
7 1.0820 nan 0.1000 0.0090
8 1.0655 nan 0.1000 0.0067
9 1.0478 nan 0.1000 0.0076
10 1.0349 nan 0.1000 0.0060
20 0.9531 nan 0.1000 0.0039
40 0.8721 nan 0.1000 0.0013
60 0.8335 nan 0.1000 -0.0001
80 0.8072 nan 0.1000 -0.0007
100 0.7913 nan 0.1000 -0.0006
120 0.7783 nan 0.1000 -0.0006
140 0.7683 nan 0.1000 -0.0003
160 0.7605 nan 0.1000 -0.0003
180 0.7554 nan 0.1000 -0.0003
200 0.7487 nan 0.1000 -0.0000
220 0.7434 nan 0.1000 -0.0015
240 0.7377 nan 0.1000 -0.0008
260 0.7328 nan 0.1000 -0.0003
280 0.7283 nan 0.1000 -0.0008
300 0.7238 nan 0.1000 -0.0004
320 0.7212 nan 0.1000 -0.0006
340 0.7188 nan 0.1000 -0.0006
360 0.7157 nan 0.1000 -0.0010
380 0.7121 nan 0.1000 -0.0007
400 0.7086 nan 0.1000 -0.0008
420 0.7060 nan 0.1000 -0.0003
440 0.7028 nan 0.1000 -0.0007
460 0.6993 nan 0.1000 -0.0008
480 0.6964 nan 0.1000 -0.0002
500 0.6947 nan 0.1000 -0.0014
520 0.6916 nan 0.1000 -0.0011
540 0.6896 nan 0.1000 -0.0004
560 0.6881 nan 0.1000 -0.0006
580 0.6849 nan 0.1000 -0.0003
600 0.6839 nan 0.1000 -0.0017
620 0.6812 nan 0.1000 -0.0005
640 0.6781 nan 0.1000 -0.0009
660 0.6762 nan 0.1000 -0.0016
680 0.6754 nan 0.1000 -0.0004
700 0.6726 nan 0.1000 -0.0012
720 0.6709 nan 0.1000 -0.0009
740 0.6695 nan 0.1000 -0.0002
760 0.6673 nan 0.1000 -0.0013
780 0.6659 nan 0.1000 -0.0012
800 0.6630 nan 0.1000 -0.0006
820 0.6605 nan 0.1000 -0.0011
840 0.6602 nan 0.1000 -0.0010
860 0.6590 nan 0.1000 -0.0011
880 0.6566 nan 0.1000 -0.0005
900 0.6541 nan 0.1000 -0.0009
920 0.6530 nan 0.1000 -0.0009
940 0.6515 nan 0.1000 -0.0009
960 0.6504 nan 0.1000 -0.0006
980 0.6491 nan 0.1000 -0.0005
1000 0.6480 nan 0.1000 -0.0004
1020 0.6461 nan 0.1000 -0.0013
1040 0.6450 nan 0.1000 -0.0019
1060 0.6438 nan 0.1000 -0.0017
1080 0.6421 nan 0.1000 -0.0008
1100 0.6401 nan 0.1000 -0.0004
- Fold09.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2551 nan 0.1000 0.0347
2 1.2004 nan 0.1000 0.0289
3 1.1511 nan 0.1000 0.0236
4 1.1083 nan 0.1000 0.0214
5 1.0709 nan 0.1000 0.0169
6 1.0404 nan 0.1000 0.0140
7 1.0149 nan 0.1000 0.0122
8 0.9944 nan 0.1000 0.0114
9 0.9758 nan 0.1000 0.0083
10 0.9597 nan 0.1000 0.0061
20 0.8640 nan 0.1000 0.0018
40 0.7845 nan 0.1000 -0.0003
60 0.7480 nan 0.1000 -0.0015
80 0.7221 nan 0.1000 -0.0001
100 0.7047 nan 0.1000 -0.0011
120 0.6866 nan 0.1000 -0.0013
140 0.6711 nan 0.1000 -0.0011
160 0.6588 nan 0.1000 -0.0011
180 0.6444 nan 0.1000 -0.0008
200 0.6330 nan 0.1000 -0.0010
220 0.6212 nan 0.1000 -0.0006
240 0.6121 nan 0.1000 -0.0009
260 0.6036 nan 0.1000 -0.0010
280 0.5950 nan 0.1000 -0.0011
300 0.5871 nan 0.1000 -0.0012
320 0.5783 nan 0.1000 -0.0015
340 0.5739 nan 0.1000 -0.0009
360 0.5667 nan 0.1000 -0.0018
380 0.5602 nan 0.1000 -0.0016
400 0.5518 nan 0.1000 -0.0006
420 0.5454 nan 0.1000 -0.0009
440 0.5413 nan 0.1000 -0.0018
460 0.5344 nan 0.1000 -0.0011
480 0.5291 nan 0.1000 -0.0007
500 0.5244 nan 0.1000 -0.0010
520 0.5185 nan 0.1000 -0.0006
540 0.5121 nan 0.1000 -0.0013
560 0.5071 nan 0.1000 -0.0014
580 0.5008 nan 0.1000 -0.0014
600 0.4949 nan 0.1000 -0.0012
620 0.4896 nan 0.1000 -0.0007
640 0.4815 nan 0.1000 -0.0007
660 0.4772 nan 0.1000 -0.0007
680 0.4737 nan 0.1000 -0.0008
700 0.4685 nan 0.1000 -0.0008
720 0.4650 nan 0.1000 -0.0005
740 0.4589 nan 0.1000 -0.0007
760 0.4538 nan 0.1000 -0.0015
780 0.4493 nan 0.1000 -0.0010
800 0.4446 nan 0.1000 -0.0008
820 0.4415 nan 0.1000 -0.0007
840 0.4378 nan 0.1000 -0.0014
860 0.4352 nan 0.1000 -0.0006
880 0.4314 nan 0.1000 -0.0006
900 0.4285 nan 0.1000 -0.0009
920 0.4233 nan 0.1000 -0.0004
940 0.4195 nan 0.1000 -0.0007
960 0.4165 nan 0.1000 -0.0007
980 0.4147 nan 0.1000 -0.0005
1000 0.4114 nan 0.1000 -0.0006
1020 0.4091 nan 0.1000 -0.0006
1040 0.4057 nan 0.1000 -0.0010
1060 0.4029 nan 0.1000 -0.0007
1080 0.4001 nan 0.1000 -0.0006
1100 0.3970 nan 0.1000 -0.0007
- Fold09.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2576 nan 0.1000 0.0367
2 1.1939 nan 0.1000 0.0325
3 1.1386 nan 0.1000 0.0255
4 1.0925 nan 0.1000 0.0231
5 1.0539 nan 0.1000 0.0191
6 1.0224 nan 0.1000 0.0163
7 0.9950 nan 0.1000 0.0129
8 0.9700 nan 0.1000 0.0103
9 0.9474 nan 0.1000 0.0095
10 0.9303 nan 0.1000 0.0075
20 0.8238 nan 0.1000 0.0030
40 0.7467 nan 0.1000 -0.0003
60 0.7082 nan 0.1000 0.0004
80 0.6785 nan 0.1000 -0.0009
100 0.6506 nan 0.1000 -0.0010
120 0.6283 nan 0.1000 -0.0019
140 0.6117 nan 0.1000 -0.0021
160 0.5960 nan 0.1000 -0.0002
180 0.5747 nan 0.1000 -0.0021
200 0.5590 nan 0.1000 -0.0006
220 0.5370 nan 0.1000 -0.0014
240 0.5225 nan 0.1000 -0.0010
260 0.5097 nan 0.1000 -0.0008
280 0.4968 nan 0.1000 -0.0014
300 0.4865 nan 0.1000 -0.0011
320 0.4759 nan 0.1000 -0.0009
340 0.4671 nan 0.1000 -0.0020
360 0.4580 nan 0.1000 -0.0011
380 0.4476 nan 0.1000 -0.0005
400 0.4412 nan 0.1000 -0.0014
420 0.4340 nan 0.1000 -0.0006
440 0.4249 nan 0.1000 -0.0008
460 0.4170 nan 0.1000 -0.0012
480 0.4090 nan 0.1000 -0.0007
500 0.4027 nan 0.1000 -0.0013
520 0.3967 nan 0.1000 -0.0008
540 0.3915 nan 0.1000 -0.0016
560 0.3841 nan 0.1000 -0.0010
580 0.3784 nan 0.1000 -0.0005
600 0.3730 nan 0.1000 -0.0011
620 0.3687 nan 0.1000 -0.0014
640 0.3622 nan 0.1000 -0.0010
660 0.3566 nan 0.1000 -0.0016
680 0.3515 nan 0.1000 -0.0007
700 0.3464 nan 0.1000 -0.0012
720 0.3420 nan 0.1000 -0.0013
740 0.3387 nan 0.1000 -0.0007
760 0.3344 nan 0.1000 -0.0017
780 0.3289 nan 0.1000 -0.0012
800 0.3259 nan 0.1000 -0.0007
820 0.3210 nan 0.1000 -0.0008
840 0.3164 nan 0.1000 -0.0011
860 0.3113 nan 0.1000 -0.0006
880 0.3060 nan 0.1000 -0.0010
900 0.3009 nan 0.1000 -0.0013
920 0.2967 nan 0.1000 -0.0009
940 0.2930 nan 0.1000 -0.0012
960 0.2899 nan 0.1000 -0.0008
980 0.2872 nan 0.1000 -0.0009
1000 0.2845 nan 0.1000 -0.0008
1020 0.2811 nan 0.1000 -0.0008
1040 0.2771 nan 0.1000 -0.0007
1060 0.2730 nan 0.1000 -0.0007
1080 0.2695 nan 0.1000 -0.0008
1100 0.2677 nan 0.1000 -0.0012
- Fold09.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3255 nan 0.0100 0.0026
2 1.3198 nan 0.0100 0.0026
3 1.3141 nan 0.0100 0.0027
4 1.3086 nan 0.0100 0.0027
5 1.3031 nan 0.0100 0.0026
6 1.2982 nan 0.0100 0.0025
7 1.2933 nan 0.0100 0.0025
8 1.2882 nan 0.0100 0.0025
9 1.2829 nan 0.0100 0.0024
10 1.2784 nan 0.0100 0.0024
20 1.2364 nan 0.0100 0.0019
40 1.1723 nan 0.0100 0.0014
60 1.1258 nan 0.0100 0.0010
80 1.0895 nan 0.0100 0.0008
100 1.0590 nan 0.0100 0.0006
120 1.0342 nan 0.0100 0.0005
140 1.0134 nan 0.0100 0.0002
160 0.9960 nan 0.0100 0.0003
180 0.9806 nan 0.0100 0.0002
200 0.9673 nan 0.0100 0.0002
220 0.9555 nan 0.0100 0.0001
240 0.9454 nan 0.0100 0.0001
260 0.9359 nan 0.0100 0.0001
280 0.9272 nan 0.0100 0.0001
300 0.9194 nan 0.0100 -0.0000
320 0.9119 nan 0.0100 0.0000
340 0.9054 nan 0.0100 0.0002
360 0.8993 nan 0.0100 0.0000
380 0.8939 nan 0.0100 0.0001
400 0.8890 nan 0.0100 0.0001
420 0.8844 nan 0.0100 -0.0000
440 0.8795 nan 0.0100 0.0001
460 0.8750 nan 0.0100 0.0001
480 0.8708 nan 0.0100 -0.0000
500 0.8666 nan 0.0100 0.0000
520 0.8627 nan 0.0100 -0.0000
540 0.8589 nan 0.0100 0.0001
560 0.8558 nan 0.0100 -0.0000
580 0.8526 nan 0.0100 -0.0000
600 0.8496 nan 0.0100 -0.0001
620 0.8466 nan 0.0100 -0.0000
640 0.8435 nan 0.0100 -0.0000
660 0.8409 nan 0.0100 0.0000
680 0.8382 nan 0.0100 0.0000
700 0.8356 nan 0.0100 0.0000
720 0.8333 nan 0.0100 0.0000
740 0.8308 nan 0.0100 -0.0000
760 0.8284 nan 0.0100 0.0000
780 0.8262 nan 0.0100 -0.0001
800 0.8239 nan 0.0100 -0.0000
820 0.8216 nan 0.0100 0.0000
840 0.8195 nan 0.0100 0.0000
860 0.8175 nan 0.0100 0.0000
880 0.8155 nan 0.0100 -0.0001
900 0.8136 nan 0.0100 -0.0000
920 0.8118 nan 0.0100 0.0000
940 0.8102 nan 0.0100 0.0000
960 0.8084 nan 0.0100 -0.0000
980 0.8067 nan 0.0100 0.0000
1000 0.8049 nan 0.0100 -0.0001
1020 0.8037 nan 0.0100 -0.0000
1040 0.8022 nan 0.0100 -0.0000
1060 0.8009 nan 0.0100 -0.0001
1080 0.7992 nan 0.0100 -0.0001
1100 0.7979 nan 0.0100 -0.0001
- Fold10.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3242 nan 0.0100 0.0038
2 1.3169 nan 0.0100 0.0036
3 1.3100 nan 0.0100 0.0035
4 1.3032 nan 0.0100 0.0033
5 1.2965 nan 0.0100 0.0033
6 1.2904 nan 0.0100 0.0033
7 1.2843 nan 0.0100 0.0032
8 1.2780 nan 0.0100 0.0031
9 1.2716 nan 0.0100 0.0030
10 1.2652 nan 0.0100 0.0029
20 1.2096 nan 0.0100 0.0022
40 1.1249 nan 0.0100 0.0016
60 1.0619 nan 0.0100 0.0012
80 1.0159 nan 0.0100 0.0009
100 0.9802 nan 0.0100 0.0007
120 0.9510 nan 0.0100 0.0004
140 0.9288 nan 0.0100 0.0001
160 0.9102 nan 0.0100 0.0003
180 0.8949 nan 0.0100 0.0001
200 0.8811 nan 0.0100 0.0001
220 0.8688 nan 0.0100 0.0001
240 0.8589 nan 0.0100 0.0001
260 0.8496 nan 0.0100 0.0001
280 0.8416 nan 0.0100 0.0001
300 0.8336 nan 0.0100 0.0001
320 0.8271 nan 0.0100 0.0000
340 0.8199 nan 0.0100 0.0000
360 0.8136 nan 0.0100 0.0002
380 0.8082 nan 0.0100 0.0000
400 0.8027 nan 0.0100 0.0000
420 0.7973 nan 0.0100 0.0001
440 0.7924 nan 0.0100 -0.0001
460 0.7883 nan 0.0100 -0.0001
480 0.7838 nan 0.0100 0.0000
500 0.7795 nan 0.0100 -0.0002
520 0.7758 nan 0.0100 -0.0001
540 0.7722 nan 0.0100 -0.0000
560 0.7684 nan 0.0100 -0.0000
580 0.7649 nan 0.0100 -0.0001
600 0.7616 nan 0.0100 -0.0001
620 0.7587 nan 0.0100 -0.0000
640 0.7558 nan 0.0100 0.0000
660 0.7528 nan 0.0100 -0.0001
680 0.7499 nan 0.0100 0.0000
700 0.7469 nan 0.0100 0.0000
720 0.7442 nan 0.0100 -0.0000
740 0.7416 nan 0.0100 -0.0001
760 0.7391 nan 0.0100 -0.0001
780 0.7369 nan 0.0100 0.0000
800 0.7343 nan 0.0100 -0.0001
820 0.7324 nan 0.0100 -0.0001
840 0.7300 nan 0.0100 -0.0001
860 0.7280 nan 0.0100 -0.0001
880 0.7259 nan 0.0100 -0.0000
900 0.7232 nan 0.0100 -0.0001
920 0.7208 nan 0.0100 -0.0000
940 0.7188 nan 0.0100 -0.0001
960 0.7168 nan 0.0100 -0.0001
980 0.7152 nan 0.0100 -0.0001
1000 0.7131 nan 0.0100 -0.0001
1020 0.7111 nan 0.0100 -0.0000
1040 0.7090 nan 0.0100 -0.0000
1060 0.7071 nan 0.0100 -0.0000
1080 0.7053 nan 0.0100 0.0000
1100 0.7034 nan 0.0100 -0.0001
- Fold10.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3232 nan 0.0100 0.0038
2 1.3148 nan 0.0100 0.0040
3 1.3072 nan 0.0100 0.0037
4 1.2994 nan 0.0100 0.0038
5 1.2923 nan 0.0100 0.0036
6 1.2852 nan 0.0100 0.0034
7 1.2781 nan 0.0100 0.0032
8 1.2708 nan 0.0100 0.0031
9 1.2644 nan 0.0100 0.0034
10 1.2580 nan 0.0100 0.0031
20 1.1970 nan 0.0100 0.0026
40 1.1020 nan 0.0100 0.0020
60 1.0338 nan 0.0100 0.0014
80 0.9825 nan 0.0100 0.0011
100 0.9439 nan 0.0100 0.0007
120 0.9151 nan 0.0100 0.0007
140 0.8922 nan 0.0100 0.0004
160 0.8732 nan 0.0100 0.0002
180 0.8567 nan 0.0100 0.0002
200 0.8416 nan 0.0100 0.0002
220 0.8289 nan 0.0100 0.0001
240 0.8173 nan 0.0100 0.0002
260 0.8077 nan 0.0100 0.0001
280 0.7991 nan 0.0100 0.0001
300 0.7903 nan 0.0100 0.0001
320 0.7832 nan 0.0100 0.0001
340 0.7761 nan 0.0100 0.0000
360 0.7690 nan 0.0100 -0.0000
380 0.7627 nan 0.0100 -0.0000
400 0.7566 nan 0.0100 -0.0000
420 0.7519 nan 0.0100 0.0000
440 0.7465 nan 0.0100 -0.0000
460 0.7415 nan 0.0100 -0.0002
480 0.7366 nan 0.0100 -0.0001
500 0.7324 nan 0.0100 -0.0001
520 0.7280 nan 0.0100 -0.0001
540 0.7237 nan 0.0100 -0.0001
560 0.7199 nan 0.0100 -0.0000
580 0.7159 nan 0.0100 -0.0001
600 0.7123 nan 0.0100 -0.0000
620 0.7084 nan 0.0100 -0.0001
640 0.7053 nan 0.0100 -0.0002
660 0.7016 nan 0.0100 0.0000
680 0.6976 nan 0.0100 -0.0000
700 0.6944 nan 0.0100 0.0000
720 0.6908 nan 0.0100 -0.0001
740 0.6878 nan 0.0100 -0.0002
760 0.6850 nan 0.0100 -0.0000
780 0.6820 nan 0.0100 -0.0001
800 0.6792 nan 0.0100 -0.0001
820 0.6759 nan 0.0100 -0.0001
840 0.6733 nan 0.0100 -0.0001
860 0.6704 nan 0.0100 -0.0001
880 0.6684 nan 0.0100 -0.0001
900 0.6659 nan 0.0100 -0.0001
920 0.6624 nan 0.0100 -0.0001
940 0.6597 nan 0.0100 -0.0003
960 0.6572 nan 0.0100 -0.0002
980 0.6544 nan 0.0100 -0.0002
1000 0.6520 nan 0.0100 -0.0000
1020 0.6493 nan 0.0100 -0.0000
1040 0.6466 nan 0.0100 -0.0001
1060 0.6437 nan 0.0100 -0.0001
1080 0.6417 nan 0.0100 -0.0002
1100 0.6387 nan 0.0100 -0.0002
- Fold10.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2751 nan 0.1000 0.0271
2 1.2310 nan 0.1000 0.0214
3 1.1965 nan 0.1000 0.0177
4 1.1645 nan 0.1000 0.0147
5 1.1412 nan 0.1000 0.0125
6 1.1190 nan 0.1000 0.0098
7 1.1028 nan 0.1000 0.0085
8 1.0846 nan 0.1000 0.0084
9 1.0691 nan 0.1000 0.0066
10 1.0557 nan 0.1000 0.0065
20 0.9679 nan 0.1000 0.0022
40 0.8883 nan 0.1000 0.0003
60 0.8464 nan 0.1000 -0.0002
80 0.8200 nan 0.1000 -0.0002
100 0.8034 nan 0.1000 -0.0013
120 0.7880 nan 0.1000 0.0002
140 0.7772 nan 0.1000 -0.0008
160 0.7683 nan 0.1000 -0.0005
180 0.7613 nan 0.1000 -0.0008
200 0.7553 nan 0.1000 -0.0005
220 0.7506 nan 0.1000 -0.0010
240 0.7469 nan 0.1000 -0.0007
260 0.7414 nan 0.1000 -0.0007
280 0.7371 nan 0.1000 -0.0010
300 0.7331 nan 0.1000 -0.0005
320 0.7282 nan 0.1000 -0.0004
340 0.7257 nan 0.1000 -0.0012
360 0.7225 nan 0.1000 -0.0008
380 0.7192 nan 0.1000 -0.0008
400 0.7157 nan 0.1000 -0.0004
420 0.7124 nan 0.1000 -0.0003
440 0.7100 nan 0.1000 -0.0012
460 0.7078 nan 0.1000 -0.0020
480 0.7041 nan 0.1000 -0.0010
500 0.7000 nan 0.1000 -0.0001
520 0.6973 nan 0.1000 -0.0008
540 0.6945 nan 0.1000 -0.0005
560 0.6921 nan 0.1000 -0.0004
580 0.6901 nan 0.1000 -0.0014
600 0.6872 nan 0.1000 -0.0003
620 0.6854 nan 0.1000 -0.0012
640 0.6832 nan 0.1000 -0.0016
660 0.6797 nan 0.1000 -0.0007
680 0.6777 nan 0.1000 -0.0005
700 0.6762 nan 0.1000 -0.0011
720 0.6752 nan 0.1000 -0.0004
740 0.6741 nan 0.1000 -0.0005
760 0.6726 nan 0.1000 -0.0001
780 0.6702 nan 0.1000 -0.0006
800 0.6694 nan 0.1000 -0.0010
820 0.6676 nan 0.1000 -0.0006
840 0.6661 nan 0.1000 -0.0024
860 0.6642 nan 0.1000 -0.0021
880 0.6633 nan 0.1000 -0.0007
900 0.6622 nan 0.1000 -0.0007
920 0.6597 nan 0.1000 -0.0010
940 0.6580 nan 0.1000 -0.0009
960 0.6565 nan 0.1000 -0.0015
980 0.6547 nan 0.1000 -0.0006
1000 0.6538 nan 0.1000 -0.0014
1020 0.6514 nan 0.1000 -0.0009
1040 0.6499 nan 0.1000 -0.0005
1060 0.6478 nan 0.1000 -0.0009
1080 0.6459 nan 0.1000 -0.0008
1100 0.6450 nan 0.1000 -0.0004
- Fold10.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2617 nan 0.1000 0.0313
2 1.2039 nan 0.1000 0.0276
3 1.1585 nan 0.1000 0.0229
4 1.1201 nan 0.1000 0.0198
5 1.0859 nan 0.1000 0.0160
6 1.0581 nan 0.1000 0.0124
7 1.0358 nan 0.1000 0.0108
8 1.0169 nan 0.1000 0.0074
9 0.9955 nan 0.1000 0.0091
10 0.9781 nan 0.1000 0.0075
20 0.8821 nan 0.1000 0.0002
40 0.8020 nan 0.1000 0.0014
60 0.7699 nan 0.1000 -0.0008
80 0.7433 nan 0.1000 -0.0006
100 0.7176 nan 0.1000 -0.0003
120 0.6987 nan 0.1000 -0.0006
140 0.6823 nan 0.1000 -0.0016
160 0.6686 nan 0.1000 -0.0020
180 0.6523 nan 0.1000 -0.0016
200 0.6405 nan 0.1000 -0.0014
220 0.6304 nan 0.1000 -0.0018
240 0.6214 nan 0.1000 -0.0007
260 0.6131 nan 0.1000 -0.0013
280 0.6041 nan 0.1000 -0.0004
300 0.5932 nan 0.1000 -0.0015
320 0.5862 nan 0.1000 -0.0004
340 0.5760 nan 0.1000 -0.0011
360 0.5678 nan 0.1000 -0.0005
380 0.5617 nan 0.1000 -0.0014
400 0.5543 nan 0.1000 -0.0011
420 0.5468 nan 0.1000 -0.0015
440 0.5384 nan 0.1000 -0.0012
460 0.5329 nan 0.1000 -0.0008
480 0.5247 nan 0.1000 -0.0017
500 0.5160 nan 0.1000 -0.0012
520 0.5081 nan 0.1000 -0.0007
540 0.5028 nan 0.1000 -0.0006
560 0.4969 nan 0.1000 -0.0010
580 0.4923 nan 0.1000 -0.0014
600 0.4871 nan 0.1000 -0.0007
620 0.4825 nan 0.1000 -0.0008
640 0.4765 nan 0.1000 -0.0007
660 0.4715 nan 0.1000 -0.0013
680 0.4671 nan 0.1000 -0.0005
700 0.4623 nan 0.1000 -0.0017
720 0.4581 nan 0.1000 -0.0008
740 0.4547 nan 0.1000 -0.0017
760 0.4508 nan 0.1000 -0.0005
780 0.4481 nan 0.1000 -0.0004
800 0.4430 nan 0.1000 -0.0012
820 0.4387 nan 0.1000 -0.0006
840 0.4340 nan 0.1000 -0.0006
860 0.4307 nan 0.1000 -0.0016
880 0.4270 nan 0.1000 -0.0010
900 0.4237 nan 0.1000 -0.0006
920 0.4212 nan 0.1000 -0.0005
940 0.4170 nan 0.1000 -0.0008
960 0.4129 nan 0.1000 -0.0009
980 0.4089 nan 0.1000 -0.0007
1000 0.4062 nan 0.1000 -0.0008
1020 0.4017 nan 0.1000 -0.0013
1040 0.3968 nan 0.1000 -0.0012
1060 0.3957 nan 0.1000 -0.0008
1080 0.3928 nan 0.1000 -0.0009
1100 0.3895 nan 0.1000 -0.0008
- Fold10.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2562 nan 0.1000 0.0363
2 1.1950 nan 0.1000 0.0297
3 1.1484 nan 0.1000 0.0206
4 1.1051 nan 0.1000 0.0217
5 1.0687 nan 0.1000 0.0184
6 1.0381 nan 0.1000 0.0153
7 1.0092 nan 0.1000 0.0135
8 0.9874 nan 0.1000 0.0095
9 0.9709 nan 0.1000 0.0080
10 0.9530 nan 0.1000 0.0055
20 0.8470 nan 0.1000 -0.0002
40 0.7634 nan 0.1000 0.0005
60 0.7121 nan 0.1000 -0.0011
80 0.6785 nan 0.1000 -0.0013
100 0.6532 nan 0.1000 -0.0005
120 0.6279 nan 0.1000 -0.0002
140 0.6066 nan 0.1000 -0.0015
160 0.5877 nan 0.1000 -0.0009
180 0.5679 nan 0.1000 -0.0005
200 0.5513 nan 0.1000 -0.0005
220 0.5391 nan 0.1000 -0.0014
240 0.5255 nan 0.1000 -0.0006
260 0.5142 nan 0.1000 -0.0011
280 0.5030 nan 0.1000 -0.0011
300 0.4915 nan 0.1000 -0.0005
320 0.4794 nan 0.1000 -0.0017
340 0.4707 nan 0.1000 -0.0015
360 0.4627 nan 0.1000 -0.0003
380 0.4507 nan 0.1000 -0.0019
400 0.4413 nan 0.1000 -0.0008
420 0.4328 nan 0.1000 -0.0009
440 0.4252 nan 0.1000 -0.0012
460 0.4190 nan 0.1000 -0.0005
480 0.4119 nan 0.1000 -0.0016
500 0.4057 nan 0.1000 -0.0014
520 0.3981 nan 0.1000 -0.0008
540 0.3901 nan 0.1000 -0.0008
560 0.3831 nan 0.1000 -0.0006
580 0.3780 nan 0.1000 -0.0008
600 0.3707 nan 0.1000 -0.0005
620 0.3655 nan 0.1000 -0.0009
640 0.3587 nan 0.1000 -0.0013
660 0.3538 nan 0.1000 -0.0010
680 0.3481 nan 0.1000 -0.0012
700 0.3420 nan 0.1000 -0.0011
720 0.3353 nan 0.1000 -0.0006
740 0.3297 nan 0.1000 -0.0013
760 0.3249 nan 0.1000 -0.0006
780 0.3201 nan 0.1000 -0.0014
800 0.3149 nan 0.1000 -0.0004
820 0.3114 nan 0.1000 -0.0009
840 0.3086 nan 0.1000 -0.0014
860 0.3041 nan 0.1000 -0.0006
880 0.2999 nan 0.1000 -0.0004
900 0.2947 nan 0.1000 -0.0012
920 0.2916 nan 0.1000 -0.0008
940 0.2870 nan 0.1000 -0.0006
960 0.2841 nan 0.1000 -0.0016
980 0.2801 nan 0.1000 -0.0016
1000 0.2770 nan 0.1000 -0.0009
1020 0.2740 nan 0.1000 -0.0009
1040 0.2681 nan 0.1000 -0.0009
1060 0.2644 nan 0.1000 -0.0004
1080 0.2595 nan 0.1000 -0.0011
1100 0.2575 nan 0.1000 -0.0008
- Fold10.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3247 nan 0.0100 0.0033
2 1.3180 nan 0.0100 0.0030
3 1.3118 nan 0.0100 0.0031
4 1.3056 nan 0.0100 0.0029
5 1.2995 nan 0.0100 0.0029
6 1.2937 nan 0.0100 0.0030
7 1.2879 nan 0.0100 0.0029
8 1.2821 nan 0.0100 0.0027
9 1.2767 nan 0.0100 0.0028
10 1.2712 nan 0.0100 0.0027
20 1.2209 nan 0.0100 0.0022
40 1.1446 nan 0.0100 0.0015
60 1.0920 nan 0.0100 0.0007
80 1.0542 nan 0.0100 0.0008
100 1.0234 nan 0.0100 0.0005
120 0.9984 nan 0.0100 0.0005
140 0.9775 nan 0.0100 0.0004
160 0.9589 nan 0.0100 0.0003
180 0.9446 nan 0.0100 0.0002
200 0.9308 nan 0.0100 0.0001
220 0.9194 nan 0.0100 0.0002
240 0.9088 nan 0.0100 0.0001
260 0.8994 nan 0.0100 0.0002
280 0.8911 nan 0.0100 0.0001
300 0.8834 nan 0.0100 0.0002
320 0.8764 nan 0.0100 0.0000
340 0.8699 nan 0.0100 0.0001
360 0.8643 nan 0.0100 0.0001
380 0.8590 nan 0.0100 -0.0001
400 0.8541 nan 0.0100 0.0001
420 0.8496 nan 0.0100 -0.0001
440 0.8451 nan 0.0100 -0.0000
460 0.8410 nan 0.0100 0.0001
480 0.8369 nan 0.0100 0.0000
500 0.8332 nan 0.0100 0.0000
520 0.8297 nan 0.0100 -0.0000
540 0.8263 nan 0.0100 -0.0002
560 0.8232 nan 0.0100 0.0000
580 0.8201 nan 0.0100 0.0000
600 0.8172 nan 0.0100 -0.0000
620 0.8143 nan 0.0100 -0.0000
640 0.8118 nan 0.0100 -0.0000
660 0.8093 nan 0.0100 0.0000
680 0.8069 nan 0.0100 -0.0001
700 0.8049 nan 0.0100 0.0000
720 0.8030 nan 0.0100 -0.0001
740 0.8011 nan 0.0100 0.0000
760 0.7990 nan 0.0100 -0.0000
780 0.7973 nan 0.0100 -0.0000
800 0.7954 nan 0.0100 -0.0000
820 0.7938 nan 0.0100 -0.0001
840 0.7920 nan 0.0100 -0.0001
860 0.7902 nan 0.0100 0.0000
880 0.7885 nan 0.0100 0.0000
900 0.7868 nan 0.0100 -0.0001
920 0.7854 nan 0.0100 -0.0001
940 0.7838 nan 0.0100 -0.0000
960 0.7824 nan 0.0100 -0.0000
980 0.7810 nan 0.0100 -0.0001
1000 0.7795 nan 0.0100 -0.0000
1020 0.7782 nan 0.0100 -0.0001
1040 0.7770 nan 0.0100 -0.0001
1060 0.7758 nan 0.0100 -0.0001
1080 0.7747 nan 0.0100 -0.0000
1100 0.7735 nan 0.0100 -0.0000
- Fold01.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3242 nan 0.0100 0.0037
2 1.3163 nan 0.0100 0.0039
3 1.3083 nan 0.0100 0.0037
4 1.3007 nan 0.0100 0.0038
5 1.2930 nan 0.0100 0.0039
6 1.2858 nan 0.0100 0.0036
7 1.2783 nan 0.0100 0.0033
8 1.2713 nan 0.0100 0.0029
9 1.2646 nan 0.0100 0.0034
10 1.2575 nan 0.0100 0.0033
20 1.1973 nan 0.0100 0.0028
40 1.1041 nan 0.0100 0.0016
60 1.0363 nan 0.0100 0.0014
80 0.9863 nan 0.0100 0.0010
100 0.9475 nan 0.0100 0.0007
120 0.9172 nan 0.0100 0.0006
140 0.8927 nan 0.0100 0.0004
160 0.8748 nan 0.0100 0.0002
180 0.8596 nan 0.0100 0.0002
200 0.8469 nan 0.0100 0.0002
220 0.8353 nan 0.0100 0.0002
240 0.8255 nan 0.0100 0.0001
260 0.8167 nan 0.0100 0.0001
280 0.8090 nan 0.0100 0.0000
300 0.8024 nan 0.0100 0.0000
320 0.7959 nan 0.0100 -0.0000
340 0.7902 nan 0.0100 0.0000
360 0.7845 nan 0.0100 -0.0000
380 0.7788 nan 0.0100 0.0001
400 0.7734 nan 0.0100 0.0001
420 0.7691 nan 0.0100 0.0000
440 0.7647 nan 0.0100 -0.0001
460 0.7607 nan 0.0100 -0.0000
480 0.7567 nan 0.0100 -0.0001
500 0.7534 nan 0.0100 0.0000
520 0.7501 nan 0.0100 -0.0001
540 0.7468 nan 0.0100 -0.0001
560 0.7436 nan 0.0100 0.0000
580 0.7402 nan 0.0100 -0.0000
600 0.7374 nan 0.0100 -0.0000
620 0.7344 nan 0.0100 -0.0000
640 0.7315 nan 0.0100 0.0000
660 0.7288 nan 0.0100 -0.0001
680 0.7263 nan 0.0100 -0.0000
700 0.7237 nan 0.0100 -0.0002
720 0.7210 nan 0.0100 -0.0001
740 0.7183 nan 0.0100 -0.0002
760 0.7160 nan 0.0100 -0.0000
780 0.7139 nan 0.0100 -0.0001
800 0.7116 nan 0.0100 -0.0002
820 0.7095 nan 0.0100 -0.0000
840 0.7075 nan 0.0100 -0.0002
860 0.7052 nan 0.0100 -0.0001
880 0.7033 nan 0.0100 -0.0000
900 0.7012 nan 0.0100 -0.0001
920 0.6992 nan 0.0100 -0.0002
940 0.6974 nan 0.0100 -0.0001
960 0.6951 nan 0.0100 -0.0000
980 0.6932 nan 0.0100 -0.0001
1000 0.6914 nan 0.0100 -0.0001
1020 0.6897 nan 0.0100 -0.0001
1040 0.6879 nan 0.0100 -0.0001
1060 0.6864 nan 0.0100 -0.0001
1080 0.6848 nan 0.0100 -0.0001
1100 0.6830 nan 0.0100 -0.0001
- Fold01.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3235 nan 0.0100 0.0040
2 1.3151 nan 0.0100 0.0039
3 1.3066 nan 0.0100 0.0040
4 1.2987 nan 0.0100 0.0037
5 1.2907 nan 0.0100 0.0041
6 1.2826 nan 0.0100 0.0038
7 1.2754 nan 0.0100 0.0036
8 1.2677 nan 0.0100 0.0034
9 1.2601 nan 0.0100 0.0036
10 1.2533 nan 0.0100 0.0035
20 1.1874 nan 0.0100 0.0028
40 1.0840 nan 0.0100 0.0021
60 1.0112 nan 0.0100 0.0016
80 0.9560 nan 0.0100 0.0010
100 0.9148 nan 0.0100 0.0005
120 0.8830 nan 0.0100 0.0004
140 0.8580 nan 0.0100 0.0004
160 0.8379 nan 0.0100 0.0004
180 0.8223 nan 0.0100 0.0002
200 0.8093 nan 0.0100 0.0001
220 0.7969 nan 0.0100 0.0001
240 0.7869 nan 0.0100 -0.0001
260 0.7780 nan 0.0100 0.0002
280 0.7694 nan 0.0100 -0.0001
300 0.7617 nan 0.0100 0.0001
320 0.7546 nan 0.0100 0.0001
340 0.7479 nan 0.0100 -0.0001
360 0.7421 nan 0.0100 0.0001
380 0.7369 nan 0.0100 -0.0000
400 0.7314 nan 0.0100 -0.0000
420 0.7261 nan 0.0100 -0.0001
440 0.7215 nan 0.0100 -0.0001
460 0.7169 nan 0.0100 -0.0000
480 0.7124 nan 0.0100 -0.0000
500 0.7085 nan 0.0100 -0.0000
520 0.7045 nan 0.0100 0.0000
540 0.7004 nan 0.0100 -0.0001
560 0.6973 nan 0.0100 -0.0001
580 0.6941 nan 0.0100 -0.0001
600 0.6909 nan 0.0100 -0.0001
620 0.6870 nan 0.0100 -0.0002
640 0.6835 nan 0.0100 -0.0000
660 0.6804 nan 0.0100 -0.0000
680 0.6771 nan 0.0100 -0.0000
700 0.6740 nan 0.0100 -0.0001
720 0.6707 nan 0.0100 -0.0001
740 0.6679 nan 0.0100 -0.0001
760 0.6646 nan 0.0100 -0.0001
780 0.6615 nan 0.0100 -0.0003
800 0.6583 nan 0.0100 -0.0002
820 0.6558 nan 0.0100 -0.0001
840 0.6533 nan 0.0100 -0.0003
860 0.6508 nan 0.0100 -0.0001
880 0.6479 nan 0.0100 -0.0001
900 0.6450 nan 0.0100 -0.0001
920 0.6424 nan 0.0100 -0.0001
940 0.6398 nan 0.0100 -0.0001
960 0.6372 nan 0.0100 -0.0001
980 0.6348 nan 0.0100 -0.0001
1000 0.6324 nan 0.0100 -0.0001
1020 0.6296 nan 0.0100 -0.0001
1040 0.6273 nan 0.0100 -0.0001
1060 0.6248 nan 0.0100 -0.0001
1080 0.6227 nan 0.0100 -0.0001
1100 0.6200 nan 0.0100 -0.0002
- Fold01.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2655 nan 0.1000 0.0317
2 1.2187 nan 0.1000 0.0245
3 1.1798 nan 0.1000 0.0206
4 1.1425 nan 0.1000 0.0173
5 1.1135 nan 0.1000 0.0142
6 1.0905 nan 0.1000 0.0115
7 1.0710 nan 0.1000 0.0094
8 1.0558 nan 0.1000 0.0064
9 1.0378 nan 0.1000 0.0072
10 1.0235 nan 0.1000 0.0060
20 0.9317 nan 0.1000 0.0012
40 0.8570 nan 0.1000 -0.0006
60 0.8190 nan 0.1000 0.0005
80 0.7948 nan 0.1000 -0.0000
100 0.7785 nan 0.1000 -0.0012
120 0.7677 nan 0.1000 -0.0007
140 0.7597 nan 0.1000 -0.0011
160 0.7506 nan 0.1000 -0.0004
180 0.7449 nan 0.1000 -0.0012
200 0.7385 nan 0.1000 -0.0001
220 0.7338 nan 0.1000 -0.0012
240 0.7284 nan 0.1000 -0.0007
260 0.7237 nan 0.1000 -0.0003
280 0.7178 nan 0.1000 -0.0011
300 0.7129 nan 0.1000 -0.0005
320 0.7097 nan 0.1000 -0.0005
340 0.7071 nan 0.1000 -0.0005
360 0.7030 nan 0.1000 -0.0006
380 0.7007 nan 0.1000 -0.0012
400 0.6973 nan 0.1000 -0.0004
420 0.6958 nan 0.1000 -0.0004
440 0.6928 nan 0.1000 -0.0007
460 0.6909 nan 0.1000 -0.0006
480 0.6886 nan 0.1000 -0.0010
500 0.6872 nan 0.1000 -0.0008
520 0.6862 nan 0.1000 -0.0013
540 0.6830 nan 0.1000 -0.0009
560 0.6811 nan 0.1000 -0.0012
580 0.6788 nan 0.1000 -0.0010
600 0.6764 nan 0.1000 -0.0007
620 0.6764 nan 0.1000 -0.0009
640 0.6748 nan 0.1000 -0.0005
660 0.6724 nan 0.1000 -0.0004
680 0.6705 nan 0.1000 -0.0007
700 0.6682 nan 0.1000 -0.0013
720 0.6669 nan 0.1000 -0.0005
740 0.6644 nan 0.1000 -0.0011
760 0.6628 nan 0.1000 -0.0006
780 0.6610 nan 0.1000 -0.0007
800 0.6601 nan 0.1000 -0.0011
820 0.6595 nan 0.1000 -0.0009
840 0.6578 nan 0.1000 -0.0005
860 0.6562 nan 0.1000 -0.0005
880 0.6543 nan 0.1000 -0.0004
900 0.6517 nan 0.1000 -0.0005
920 0.6514 nan 0.1000 -0.0006
940 0.6470 nan 0.1000 -0.0015
960 0.6450 nan 0.1000 -0.0004
980 0.6449 nan 0.1000 -0.0010
1000 0.6443 nan 0.1000 -0.0004
1020 0.6418 nan 0.1000 -0.0012
1040 0.6401 nan 0.1000 -0.0010
1060 0.6388 nan 0.1000 -0.0008
1080 0.6375 nan 0.1000 -0.0007
1100 0.6365 nan 0.1000 -0.0004
- Fold01.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2587 nan 0.1000 0.0351
2 1.1947 nan 0.1000 0.0317
3 1.1428 nan 0.1000 0.0251
4 1.0988 nan 0.1000 0.0212
5 1.0635 nan 0.1000 0.0196
6 1.0321 nan 0.1000 0.0157
7 1.0080 nan 0.1000 0.0104
8 0.9850 nan 0.1000 0.0106
9 0.9670 nan 0.1000 0.0078
10 0.9465 nan 0.1000 0.0086
20 0.8416 nan 0.1000 0.0025
40 0.7755 nan 0.1000 -0.0006
60 0.7361 nan 0.1000 -0.0000
80 0.7181 nan 0.1000 -0.0005
100 0.7001 nan 0.1000 -0.0018
120 0.6857 nan 0.1000 -0.0013
140 0.6631 nan 0.1000 -0.0003
160 0.6505 nan 0.1000 -0.0011
180 0.6384 nan 0.1000 -0.0003
200 0.6251 nan 0.1000 -0.0006
220 0.6116 nan 0.1000 -0.0003
240 0.6031 nan 0.1000 -0.0001
260 0.5932 nan 0.1000 -0.0009
280 0.5793 nan 0.1000 -0.0007
300 0.5709 nan 0.1000 -0.0010
320 0.5619 nan 0.1000 -0.0000
340 0.5554 nan 0.1000 -0.0012
360 0.5482 nan 0.1000 -0.0006
380 0.5408 nan 0.1000 -0.0008
400 0.5340 nan 0.1000 -0.0015
420 0.5278 nan 0.1000 -0.0017
440 0.5212 nan 0.1000 -0.0005
460 0.5147 nan 0.1000 -0.0008
480 0.5084 nan 0.1000 -0.0008
500 0.5001 nan 0.1000 -0.0005
520 0.4939 nan 0.1000 -0.0007
540 0.4902 nan 0.1000 -0.0015
560 0.4847 nan 0.1000 -0.0015
580 0.4800 nan 0.1000 -0.0009
600 0.4764 nan 0.1000 -0.0015
620 0.4719 nan 0.1000 -0.0008
640 0.4655 nan 0.1000 -0.0011
660 0.4609 nan 0.1000 -0.0006
680 0.4560 nan 0.1000 -0.0004
700 0.4524 nan 0.1000 -0.0009
720 0.4488 nan 0.1000 -0.0002
740 0.4441 nan 0.1000 -0.0005
760 0.4383 nan 0.1000 -0.0006
780 0.4350 nan 0.1000 -0.0009
800 0.4312 nan 0.1000 -0.0008
820 0.4282 nan 0.1000 -0.0009
840 0.4244 nan 0.1000 -0.0008
860 0.4209 nan 0.1000 -0.0014
880 0.4175 nan 0.1000 -0.0005
900 0.4143 nan 0.1000 -0.0011
920 0.4117 nan 0.1000 -0.0011
940 0.4077 nan 0.1000 -0.0003
960 0.4038 nan 0.1000 -0.0007
980 0.3992 nan 0.1000 -0.0013
1000 0.3981 nan 0.1000 -0.0008
1020 0.3949 nan 0.1000 -0.0005
1040 0.3921 nan 0.1000 -0.0010
1060 0.3900 nan 0.1000 -0.0009
1080 0.3876 nan 0.1000 -0.0004
1100 0.3850 nan 0.1000 -0.0007
- Fold01.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2471 nan 0.1000 0.0425
2 1.1819 nan 0.1000 0.0344
3 1.1269 nan 0.1000 0.0242
4 1.0816 nan 0.1000 0.0199
5 1.0400 nan 0.1000 0.0201
6 1.0064 nan 0.1000 0.0160
7 0.9784 nan 0.1000 0.0146
8 0.9557 nan 0.1000 0.0107
9 0.9339 nan 0.1000 0.0101
10 0.9137 nan 0.1000 0.0076
20 0.8138 nan 0.1000 0.0030
40 0.7374 nan 0.1000 0.0000
60 0.6955 nan 0.1000 -0.0009
80 0.6643 nan 0.1000 -0.0012
100 0.6366 nan 0.1000 -0.0005
120 0.6095 nan 0.1000 -0.0012
140 0.5916 nan 0.1000 -0.0010
160 0.5753 nan 0.1000 -0.0008
180 0.5574 nan 0.1000 -0.0015
200 0.5454 nan 0.1000 -0.0001
220 0.5330 nan 0.1000 -0.0006
240 0.5195 nan 0.1000 -0.0007
260 0.5102 nan 0.1000 -0.0002
280 0.4991 nan 0.1000 -0.0026
300 0.4853 nan 0.1000 -0.0007
320 0.4753 nan 0.1000 -0.0005
340 0.4672 nan 0.1000 -0.0011
360 0.4560 nan 0.1000 -0.0015
380 0.4469 nan 0.1000 -0.0007
400 0.4363 nan 0.1000 -0.0011
420 0.4274 nan 0.1000 -0.0007
440 0.4197 nan 0.1000 -0.0009
460 0.4134 nan 0.1000 -0.0010
480 0.4048 nan 0.1000 -0.0023
500 0.3953 nan 0.1000 -0.0016
520 0.3897 nan 0.1000 -0.0026
540 0.3836 nan 0.1000 -0.0005
560 0.3750 nan 0.1000 -0.0009
580 0.3700 nan 0.1000 -0.0013
600 0.3650 nan 0.1000 -0.0013
620 0.3597 nan 0.1000 -0.0012
640 0.3539 nan 0.1000 -0.0017
660 0.3473 nan 0.1000 -0.0014
680 0.3429 nan 0.1000 -0.0017
700 0.3392 nan 0.1000 -0.0007
720 0.3340 nan 0.1000 -0.0008
740 0.3295 nan 0.1000 -0.0007
760 0.3255 nan 0.1000 -0.0012
780 0.3205 nan 0.1000 -0.0010
800 0.3162 nan 0.1000 -0.0007
820 0.3130 nan 0.1000 -0.0007
840 0.3092 nan 0.1000 -0.0007
860 0.3042 nan 0.1000 -0.0004
880 0.3011 nan 0.1000 -0.0008
900 0.2980 nan 0.1000 -0.0008
920 0.2936 nan 0.1000 -0.0011
940 0.2903 nan 0.1000 -0.0011
960 0.2869 nan 0.1000 -0.0013
980 0.2837 nan 0.1000 -0.0007
1000 0.2798 nan 0.1000 -0.0010
1020 0.2770 nan 0.1000 -0.0008
1040 0.2740 nan 0.1000 -0.0005
1060 0.2720 nan 0.1000 -0.0018
1080 0.2693 nan 0.1000 -0.0012
1100 0.2662 nan 0.1000 -0.0012
- Fold01.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3257 nan 0.0100 0.0031
2 1.3200 nan 0.0100 0.0029
3 1.3144 nan 0.0100 0.0029
4 1.3089 nan 0.0100 0.0029
5 1.3031 nan 0.0100 0.0028
6 1.2973 nan 0.0100 0.0026
7 1.2912 nan 0.0100 0.0024
8 1.2861 nan 0.0100 0.0026
9 1.2805 nan 0.0100 0.0025
10 1.2752 nan 0.0100 0.0024
20 1.2304 nan 0.0100 0.0021
40 1.1598 nan 0.0100 0.0014
60 1.1111 nan 0.0100 0.0010
80 1.0752 nan 0.0100 0.0008
100 1.0446 nan 0.0100 0.0006
120 1.0213 nan 0.0100 0.0005
140 1.0027 nan 0.0100 0.0003
160 0.9860 nan 0.0100 0.0003
180 0.9715 nan 0.0100 0.0003
200 0.9583 nan 0.0100 0.0002
220 0.9471 nan 0.0100 0.0001
240 0.9369 nan 0.0100 0.0002
260 0.9275 nan 0.0100 0.0001
280 0.9196 nan 0.0100 0.0000
300 0.9120 nan 0.0100 0.0001
320 0.9053 nan 0.0100 0.0001
340 0.8987 nan 0.0100 0.0001
360 0.8929 nan 0.0100 0.0001
380 0.8877 nan 0.0100 0.0000
400 0.8831 nan 0.0100 0.0000
420 0.8780 nan 0.0100 0.0001
440 0.8738 nan 0.0100 -0.0001
460 0.8697 nan 0.0100 0.0000
480 0.8660 nan 0.0100 0.0000
500 0.8616 nan 0.0100 -0.0000
520 0.8577 nan 0.0100 0.0001
540 0.8546 nan 0.0100 0.0000
560 0.8515 nan 0.0100 0.0000
580 0.8483 nan 0.0100 0.0000
600 0.8450 nan 0.0100 -0.0000
620 0.8424 nan 0.0100 0.0000
640 0.8397 nan 0.0100 -0.0000
660 0.8370 nan 0.0100 -0.0000
680 0.8343 nan 0.0100 -0.0000
700 0.8316 nan 0.0100 -0.0000
720 0.8290 nan 0.0100 0.0000
740 0.8266 nan 0.0100 -0.0000
760 0.8245 nan 0.0100 -0.0001
780 0.8223 nan 0.0100 -0.0001
800 0.8202 nan 0.0100 -0.0001
820 0.8183 nan 0.0100 -0.0000
840 0.8166 nan 0.0100 -0.0000
860 0.8148 nan 0.0100 -0.0000
880 0.8127 nan 0.0100 -0.0000
900 0.8111 nan 0.0100 -0.0001
920 0.8094 nan 0.0100 -0.0001
940 0.8076 nan 0.0100 -0.0000
960 0.8061 nan 0.0100 -0.0001
980 0.8046 nan 0.0100 0.0000
1000 0.8034 nan 0.0100 -0.0000
1020 0.8020 nan 0.0100 -0.0000
1040 0.8006 nan 0.0100 -0.0001
1060 0.7993 nan 0.0100 -0.0002
1080 0.7981 nan 0.0100 -0.0001
1100 0.7967 nan 0.0100 -0.0001
- Fold02.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3245 nan 0.0100 0.0038
2 1.3171 nan 0.0100 0.0035
3 1.3102 nan 0.0100 0.0036
4 1.3032 nan 0.0100 0.0035
5 1.2962 nan 0.0100 0.0035
6 1.2893 nan 0.0100 0.0031
7 1.2825 nan 0.0100 0.0032
8 1.2758 nan 0.0100 0.0030
9 1.2693 nan 0.0100 0.0032
10 1.2631 nan 0.0100 0.0031
20 1.2046 nan 0.0100 0.0026
40 1.1163 nan 0.0100 0.0017
60 1.0524 nan 0.0100 0.0012
80 1.0043 nan 0.0100 0.0009
100 0.9678 nan 0.0100 0.0007
120 0.9390 nan 0.0100 0.0006
140 0.9176 nan 0.0100 0.0005
160 0.9002 nan 0.0100 0.0002
180 0.8853 nan 0.0100 0.0001
200 0.8723 nan 0.0100 0.0002
220 0.8617 nan 0.0100 0.0001
240 0.8523 nan 0.0100 -0.0001
260 0.8428 nan 0.0100 0.0001
280 0.8339 nan 0.0100 0.0002
300 0.8259 nan 0.0100 0.0001
320 0.8187 nan 0.0100 -0.0001
340 0.8123 nan 0.0100 0.0000
360 0.8065 nan 0.0100 0.0001
380 0.8010 nan 0.0100 -0.0000
400 0.7961 nan 0.0100 0.0001
420 0.7914 nan 0.0100 -0.0000
440 0.7867 nan 0.0100 -0.0000
460 0.7822 nan 0.0100 -0.0001
480 0.7785 nan 0.0100 -0.0000
500 0.7745 nan 0.0100 -0.0001
520 0.7711 nan 0.0100 -0.0001
540 0.7678 nan 0.0100 -0.0001
560 0.7644 nan 0.0100 -0.0000
580 0.7614 nan 0.0100 -0.0001
600 0.7584 nan 0.0100 -0.0001
620 0.7559 nan 0.0100 -0.0001
640 0.7528 nan 0.0100 0.0000
660 0.7505 nan 0.0100 -0.0001
680 0.7477 nan 0.0100 -0.0001
700 0.7450 nan 0.0100 -0.0001
720 0.7428 nan 0.0100 -0.0001
740 0.7401 nan 0.0100 -0.0001
760 0.7379 nan 0.0100 -0.0000
780 0.7355 nan 0.0100 -0.0001
800 0.7329 nan 0.0100 -0.0000
820 0.7304 nan 0.0100 -0.0001
840 0.7284 nan 0.0100 -0.0001
860 0.7261 nan 0.0100 -0.0001
880 0.7241 nan 0.0100 -0.0001
900 0.7217 nan 0.0100 -0.0001
920 0.7198 nan 0.0100 -0.0002
940 0.7173 nan 0.0100 -0.0001
960 0.7156 nan 0.0100 -0.0002
980 0.7134 nan 0.0100 -0.0000
1000 0.7114 nan 0.0100 -0.0001
1020 0.7096 nan 0.0100 -0.0001
1040 0.7079 nan 0.0100 -0.0000
1060 0.7059 nan 0.0100 -0.0001
1080 0.7036 nan 0.0100 -0.0001
1100 0.7017 nan 0.0100 -0.0000
- Fold02.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3239 nan 0.0100 0.0040
2 1.3158 nan 0.0100 0.0037
3 1.3077 nan 0.0100 0.0038
4 1.2992 nan 0.0100 0.0038
5 1.2915 nan 0.0100 0.0034
6 1.2833 nan 0.0100 0.0039
7 1.2763 nan 0.0100 0.0035
8 1.2689 nan 0.0100 0.0034
9 1.2616 nan 0.0100 0.0034
10 1.2548 nan 0.0100 0.0033
20 1.1914 nan 0.0100 0.0028
40 1.0960 nan 0.0100 0.0020
60 1.0268 nan 0.0100 0.0015
80 0.9740 nan 0.0100 0.0009
100 0.9349 nan 0.0100 0.0007
120 0.9042 nan 0.0100 0.0005
140 0.8810 nan 0.0100 0.0002
160 0.8623 nan 0.0100 0.0002
180 0.8457 nan 0.0100 0.0003
200 0.8318 nan 0.0100 0.0003
220 0.8190 nan 0.0100 0.0001
240 0.8085 nan 0.0100 0.0001
260 0.7988 nan 0.0100 -0.0000
280 0.7901 nan 0.0100 0.0001
300 0.7828 nan 0.0100 0.0000
320 0.7761 nan 0.0100 -0.0001
340 0.7694 nan 0.0100 -0.0000
360 0.7624 nan 0.0100 0.0000
380 0.7557 nan 0.0100 0.0000
400 0.7503 nan 0.0100 -0.0000
420 0.7452 nan 0.0100 -0.0001
440 0.7409 nan 0.0100 -0.0001
460 0.7362 nan 0.0100 -0.0002
480 0.7323 nan 0.0100 -0.0000
500 0.7286 nan 0.0100 -0.0001
520 0.7247 nan 0.0100 -0.0001
540 0.7211 nan 0.0100 -0.0002
560 0.7165 nan 0.0100 0.0000
580 0.7133 nan 0.0100 -0.0002
600 0.7094 nan 0.0100 -0.0001
620 0.7054 nan 0.0100 -0.0000
640 0.7014 nan 0.0100 -0.0001
660 0.6979 nan 0.0100 -0.0001
680 0.6946 nan 0.0100 -0.0001
700 0.6913 nan 0.0100 -0.0001
720 0.6879 nan 0.0100 -0.0001
740 0.6848 nan 0.0100 -0.0001
760 0.6819 nan 0.0100 -0.0002
780 0.6788 nan 0.0100 -0.0001
800 0.6762 nan 0.0100 -0.0002
820 0.6732 nan 0.0100 -0.0001
840 0.6711 nan 0.0100 -0.0002
860 0.6682 nan 0.0100 -0.0001
880 0.6653 nan 0.0100 -0.0002
900 0.6632 nan 0.0100 -0.0000
920 0.6608 nan 0.0100 -0.0001
940 0.6582 nan 0.0100 -0.0002
960 0.6554 nan 0.0100 0.0000
980 0.6529 nan 0.0100 -0.0001
1000 0.6506 nan 0.0100 -0.0001
1020 0.6480 nan 0.0100 -0.0002
1040 0.6457 nan 0.0100 -0.0001
1060 0.6431 nan 0.0100 -0.0001
1080 0.6414 nan 0.0100 -0.0001
1100 0.6390 nan 0.0100 -0.0000
- Fold02.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2729 nan 0.1000 0.0272
2 1.2284 nan 0.1000 0.0237
3 1.1881 nan 0.1000 0.0188
4 1.1604 nan 0.1000 0.0162
5 1.1339 nan 0.1000 0.0124
6 1.1084 nan 0.1000 0.0114
7 1.0873 nan 0.1000 0.0091
8 1.0697 nan 0.1000 0.0073
9 1.0556 nan 0.1000 0.0067
10 1.0428 nan 0.1000 0.0051
20 0.9554 nan 0.1000 0.0008
40 0.8809 nan 0.1000 0.0007
60 0.8447 nan 0.1000 0.0002
80 0.8223 nan 0.1000 -0.0015
100 0.8045 nan 0.1000 -0.0010
120 0.7932 nan 0.1000 0.0003
140 0.7847 nan 0.1000 -0.0000
160 0.7741 nan 0.1000 -0.0013
180 0.7653 nan 0.1000 -0.0009
200 0.7602 nan 0.1000 -0.0008
220 0.7531 nan 0.1000 -0.0008
240 0.7484 nan 0.1000 -0.0004
260 0.7436 nan 0.1000 -0.0009
280 0.7380 nan 0.1000 -0.0008
300 0.7337 nan 0.1000 -0.0008
320 0.7306 nan 0.1000 -0.0010
340 0.7284 nan 0.1000 -0.0008
360 0.7235 nan 0.1000 -0.0004
380 0.7208 nan 0.1000 -0.0008
400 0.7181 nan 0.1000 -0.0008
420 0.7151 nan 0.1000 -0.0007
440 0.7103 nan 0.1000 -0.0007
460 0.7081 nan 0.1000 -0.0006
480 0.7069 nan 0.1000 -0.0019
500 0.7054 nan 0.1000 -0.0009
520 0.7023 nan 0.1000 -0.0006
540 0.7003 nan 0.1000 -0.0009
560 0.6985 nan 0.1000 -0.0007
580 0.6962 nan 0.1000 -0.0011
600 0.6949 nan 0.1000 -0.0005
620 0.6934 nan 0.1000 -0.0010
640 0.6918 nan 0.1000 -0.0005
660 0.6902 nan 0.1000 -0.0006
680 0.6882 nan 0.1000 -0.0011
700 0.6867 nan 0.1000 -0.0018
720 0.6847 nan 0.1000 -0.0009
740 0.6831 nan 0.1000 -0.0006
760 0.6815 nan 0.1000 -0.0003
780 0.6799 nan 0.1000 -0.0006
800 0.6788 nan 0.1000 -0.0011
820 0.6763 nan 0.1000 -0.0008
840 0.6734 nan 0.1000 -0.0004
860 0.6720 nan 0.1000 -0.0006
880 0.6708 nan 0.1000 -0.0007
900 0.6685 nan 0.1000 -0.0009
920 0.6667 nan 0.1000 -0.0006
940 0.6645 nan 0.1000 -0.0012
960 0.6629 nan 0.1000 -0.0001
980 0.6628 nan 0.1000 -0.0004
1000 0.6607 nan 0.1000 -0.0007
1020 0.6594 nan 0.1000 -0.0005
1040 0.6579 nan 0.1000 -0.0003
1060 0.6565 nan 0.1000 -0.0004
1080 0.6549 nan 0.1000 -0.0004
1100 0.6540 nan 0.1000 -0.0009
- Fold02.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2643 nan 0.1000 0.0350
2 1.2107 nan 0.1000 0.0256
3 1.1611 nan 0.1000 0.0255
4 1.1210 nan 0.1000 0.0210
5 1.0843 nan 0.1000 0.0174
6 1.0591 nan 0.1000 0.0143
7 1.0334 nan 0.1000 0.0135
8 1.0079 nan 0.1000 0.0116
9 0.9875 nan 0.1000 0.0082
10 0.9683 nan 0.1000 0.0086
20 0.8701 nan 0.1000 0.0012
40 0.7989 nan 0.1000 -0.0002
60 0.7634 nan 0.1000 -0.0006
80 0.7362 nan 0.1000 -0.0007
100 0.7168 nan 0.1000 -0.0009
120 0.6975 nan 0.1000 -0.0013
140 0.6834 nan 0.1000 -0.0018
160 0.6656 nan 0.1000 -0.0005
180 0.6526 nan 0.1000 -0.0014
200 0.6405 nan 0.1000 -0.0010
220 0.6296 nan 0.1000 -0.0010
240 0.6181 nan 0.1000 -0.0009
260 0.6043 nan 0.1000 -0.0008
280 0.5946 nan 0.1000 -0.0009
300 0.5834 nan 0.1000 -0.0004
320 0.5758 nan 0.1000 -0.0006
340 0.5673 nan 0.1000 -0.0009
360 0.5598 nan 0.1000 -0.0004
380 0.5531 nan 0.1000 -0.0004
400 0.5465 nan 0.1000 -0.0011
420 0.5388 nan 0.1000 -0.0012
440 0.5326 nan 0.1000 -0.0005
460 0.5266 nan 0.1000 -0.0011
480 0.5225 nan 0.1000 -0.0007
500 0.5160 nan 0.1000 -0.0005
520 0.5115 nan 0.1000 -0.0005
540 0.5058 nan 0.1000 -0.0003
560 0.4985 nan 0.1000 -0.0005
580 0.4945 nan 0.1000 -0.0016
600 0.4889 nan 0.1000 -0.0005
620 0.4825 nan 0.1000 -0.0007
640 0.4790 nan 0.1000 -0.0011
660 0.4752 nan 0.1000 -0.0015
680 0.4696 nan 0.1000 -0.0009
700 0.4652 nan 0.1000 -0.0009
720 0.4614 nan 0.1000 -0.0014
740 0.4567 nan 0.1000 -0.0007
760 0.4529 nan 0.1000 -0.0006
780 0.4490 nan 0.1000 -0.0012
800 0.4457 nan 0.1000 -0.0008
820 0.4424 nan 0.1000 -0.0010
840 0.4380 nan 0.1000 -0.0010
860 0.4321 nan 0.1000 -0.0007
880 0.4288 nan 0.1000 -0.0005
900 0.4259 nan 0.1000 -0.0006
920 0.4223 nan 0.1000 -0.0004
940 0.4196 nan 0.1000 -0.0007
960 0.4161 nan 0.1000 -0.0009
980 0.4129 nan 0.1000 -0.0006
1000 0.4080 nan 0.1000 -0.0002
1020 0.4043 nan 0.1000 -0.0005
1040 0.4022 nan 0.1000 -0.0007
1060 0.3977 nan 0.1000 -0.0014
1080 0.3953 nan 0.1000 -0.0010
1100 0.3932 nan 0.1000 -0.0006
- Fold02.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2578 nan 0.1000 0.0362
2 1.1957 nan 0.1000 0.0305
3 1.1439 nan 0.1000 0.0217
4 1.1012 nan 0.1000 0.0212
5 1.0573 nan 0.1000 0.0193
6 1.0265 nan 0.1000 0.0161
7 0.9970 nan 0.1000 0.0126
8 0.9700 nan 0.1000 0.0104
9 0.9525 nan 0.1000 0.0083
10 0.9348 nan 0.1000 0.0074
20 0.8335 nan 0.1000 -0.0007
40 0.7553 nan 0.1000 -0.0001
60 0.7200 nan 0.1000 -0.0017
80 0.6849 nan 0.1000 -0.0009
100 0.6577 nan 0.1000 -0.0008
120 0.6393 nan 0.1000 -0.0026
140 0.6170 nan 0.1000 -0.0003
160 0.5988 nan 0.1000 -0.0011
180 0.5772 nan 0.1000 -0.0011
200 0.5591 nan 0.1000 -0.0012
220 0.5436 nan 0.1000 -0.0018
240 0.5313 nan 0.1000 -0.0006
260 0.5148 nan 0.1000 -0.0001
280 0.5048 nan 0.1000 -0.0024
300 0.4945 nan 0.1000 -0.0007
320 0.4845 nan 0.1000 -0.0016
340 0.4713 nan 0.1000 -0.0011
360 0.4635 nan 0.1000 -0.0010
380 0.4536 nan 0.1000 -0.0011
400 0.4449 nan 0.1000 -0.0012
420 0.4374 nan 0.1000 -0.0008
440 0.4289 nan 0.1000 -0.0004
460 0.4218 nan 0.1000 -0.0009
480 0.4144 nan 0.1000 -0.0003
500 0.4059 nan 0.1000 -0.0010
520 0.3974 nan 0.1000 -0.0008
540 0.3903 nan 0.1000 -0.0010
560 0.3828 nan 0.1000 -0.0008
580 0.3771 nan 0.1000 -0.0002
600 0.3680 nan 0.1000 -0.0008
620 0.3609 nan 0.1000 -0.0009
640 0.3543 nan 0.1000 -0.0012
660 0.3498 nan 0.1000 -0.0019
680 0.3453 nan 0.1000 -0.0015
700 0.3393 nan 0.1000 -0.0005
720 0.3319 nan 0.1000 -0.0016
740 0.3282 nan 0.1000 -0.0009
760 0.3235 nan 0.1000 -0.0010
780 0.3188 nan 0.1000 -0.0010
800 0.3142 nan 0.1000 -0.0005
820 0.3103 nan 0.1000 -0.0010
840 0.3054 nan 0.1000 -0.0013
860 0.2997 nan 0.1000 -0.0009
880 0.2962 nan 0.1000 -0.0009
900 0.2932 nan 0.1000 -0.0008
920 0.2893 nan 0.1000 -0.0009
940 0.2860 nan 0.1000 -0.0006
960 0.2835 nan 0.1000 -0.0006
980 0.2792 nan 0.1000 -0.0012
1000 0.2746 nan 0.1000 -0.0009
1020 0.2704 nan 0.1000 -0.0011
1040 0.2666 nan 0.1000 -0.0008
1060 0.2636 nan 0.1000 -0.0008
1080 0.2602 nan 0.1000 -0.0011
1100 0.2584 nan 0.1000 -0.0007
- Fold02.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3253 nan 0.0100 0.0031
2 1.3194 nan 0.0100 0.0029
3 1.3132 nan 0.0100 0.0030
4 1.3074 nan 0.0100 0.0028
5 1.3013 nan 0.0100 0.0029
6 1.2958 nan 0.0100 0.0026
7 1.2905 nan 0.0100 0.0028
8 1.2852 nan 0.0100 0.0026
9 1.2796 nan 0.0100 0.0027
10 1.2745 nan 0.0100 0.0025
20 1.2282 nan 0.0100 0.0022
40 1.1568 nan 0.0100 0.0014
60 1.1055 nan 0.0100 0.0011
80 1.0700 nan 0.0100 0.0008
100 1.0385 nan 0.0100 0.0006
120 1.0131 nan 0.0100 0.0005
140 0.9926 nan 0.0100 0.0003
160 0.9746 nan 0.0100 0.0004
180 0.9590 nan 0.0100 0.0002
200 0.9448 nan 0.0100 0.0003
220 0.9319 nan 0.0100 0.0001
240 0.9205 nan 0.0100 0.0002
260 0.9109 nan 0.0100 0.0001
280 0.9020 nan 0.0100 0.0001
300 0.8932 nan 0.0100 0.0001
320 0.8857 nan 0.0100 -0.0000
340 0.8788 nan 0.0100 0.0001
360 0.8731 nan 0.0100 0.0001
380 0.8669 nan 0.0100 0.0001
400 0.8615 nan 0.0100 0.0000
420 0.8565 nan 0.0100 0.0000
440 0.8520 nan 0.0100 0.0001
460 0.8476 nan 0.0100 -0.0000
480 0.8433 nan 0.0100 -0.0000
500 0.8393 nan 0.0100 0.0001
520 0.8352 nan 0.0100 0.0000
540 0.8314 nan 0.0100 0.0000
560 0.8280 nan 0.0100 -0.0000
580 0.8249 nan 0.0100 -0.0000
600 0.8216 nan 0.0100 0.0000
620 0.8184 nan 0.0100 0.0000
640 0.8157 nan 0.0100 -0.0000
660 0.8130 nan 0.0100 0.0000
680 0.8105 nan 0.0100 -0.0000
700 0.8080 nan 0.0100 -0.0000
720 0.8054 nan 0.0100 0.0000
740 0.8032 nan 0.0100 0.0000
760 0.8012 nan 0.0100 0.0000
780 0.7990 nan 0.0100 0.0000
800 0.7969 nan 0.0100 -0.0000
820 0.7950 nan 0.0100 -0.0000
840 0.7930 nan 0.0100 -0.0000
860 0.7915 nan 0.0100 -0.0001
880 0.7897 nan 0.0100 -0.0000
900 0.7880 nan 0.0100 -0.0002
920 0.7862 nan 0.0100 -0.0000
940 0.7846 nan 0.0100 -0.0000
960 0.7829 nan 0.0100 0.0000
980 0.7812 nan 0.0100 -0.0000
1000 0.7796 nan 0.0100 -0.0001
1020 0.7780 nan 0.0100 -0.0000
1040 0.7766 nan 0.0100 -0.0001
1060 0.7753 nan 0.0100 -0.0001
1080 0.7740 nan 0.0100 -0.0000
1100 0.7724 nan 0.0100 -0.0001
- Fold03.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3240 nan 0.0100 0.0037
2 1.3164 nan 0.0100 0.0035
3 1.3085 nan 0.0100 0.0036
4 1.3011 nan 0.0100 0.0037
5 1.2935 nan 0.0100 0.0037
6 1.2864 nan 0.0100 0.0034
7 1.2791 nan 0.0100 0.0034
8 1.2717 nan 0.0100 0.0033
9 1.2651 nan 0.0100 0.0032
10 1.2584 nan 0.0100 0.0030
20 1.2005 nan 0.0100 0.0027
40 1.1104 nan 0.0100 0.0019
60 1.0445 nan 0.0100 0.0013
80 0.9942 nan 0.0100 0.0010
100 0.9571 nan 0.0100 0.0006
120 0.9272 nan 0.0100 0.0006
140 0.9035 nan 0.0100 0.0004
160 0.8843 nan 0.0100 0.0003
180 0.8685 nan 0.0100 0.0002
200 0.8547 nan 0.0100 0.0002
220 0.8423 nan 0.0100 0.0002
240 0.8320 nan 0.0100 0.0000
260 0.8228 nan 0.0100 0.0000
280 0.8141 nan 0.0100 0.0000
300 0.8071 nan 0.0100 0.0000
320 0.8000 nan 0.0100 -0.0000
340 0.7934 nan 0.0100 0.0000
360 0.7880 nan 0.0100 -0.0000
380 0.7826 nan 0.0100 -0.0001
400 0.7768 nan 0.0100 0.0000
420 0.7723 nan 0.0100 0.0000
440 0.7679 nan 0.0100 -0.0000
460 0.7633 nan 0.0100 -0.0001
480 0.7589 nan 0.0100 -0.0000
500 0.7554 nan 0.0100 -0.0001
520 0.7519 nan 0.0100 -0.0001
540 0.7485 nan 0.0100 -0.0000
560 0.7451 nan 0.0100 -0.0001
580 0.7421 nan 0.0100 -0.0001
600 0.7391 nan 0.0100 -0.0001
620 0.7363 nan 0.0100 0.0001
640 0.7334 nan 0.0100 -0.0000
660 0.7308 nan 0.0100 -0.0001
680 0.7276 nan 0.0100 -0.0003
700 0.7249 nan 0.0100 -0.0001
720 0.7223 nan 0.0100 -0.0001
740 0.7199 nan 0.0100 -0.0001
760 0.7173 nan 0.0100 -0.0000
780 0.7152 nan 0.0100 -0.0000
800 0.7131 nan 0.0100 -0.0000
820 0.7110 nan 0.0100 -0.0001
840 0.7091 nan 0.0100 -0.0001
860 0.7065 nan 0.0100 -0.0001
880 0.7044 nan 0.0100 -0.0001
900 0.7026 nan 0.0100 -0.0001
920 0.7003 nan 0.0100 -0.0001
940 0.6981 nan 0.0100 -0.0000
960 0.6962 nan 0.0100 -0.0000
980 0.6946 nan 0.0100 -0.0002
1000 0.6927 nan 0.0100 -0.0001
1020 0.6907 nan 0.0100 -0.0001
1040 0.6888 nan 0.0100 -0.0001
1060 0.6871 nan 0.0100 -0.0001
1080 0.6851 nan 0.0100 -0.0001
1100 0.6832 nan 0.0100 -0.0001
- Fold03.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3230 nan 0.0100 0.0042
2 1.3142 nan 0.0100 0.0039
3 1.3054 nan 0.0100 0.0039
4 1.2976 nan 0.0100 0.0037
5 1.2899 nan 0.0100 0.0038
6 1.2820 nan 0.0100 0.0039
7 1.2738 nan 0.0100 0.0039
8 1.2667 nan 0.0100 0.0039
9 1.2587 nan 0.0100 0.0039
10 1.2514 nan 0.0100 0.0036
20 1.1884 nan 0.0100 0.0026
40 1.0886 nan 0.0100 0.0017
60 1.0170 nan 0.0100 0.0014
80 0.9632 nan 0.0100 0.0011
100 0.9217 nan 0.0100 0.0008
120 0.8908 nan 0.0100 0.0005
140 0.8670 nan 0.0100 0.0002
160 0.8472 nan 0.0100 0.0004
180 0.8304 nan 0.0100 0.0003
200 0.8160 nan 0.0100 0.0002
220 0.8035 nan 0.0100 0.0001
240 0.7926 nan 0.0100 0.0001
260 0.7829 nan 0.0100 0.0000
280 0.7747 nan 0.0100 -0.0000
300 0.7672 nan 0.0100 -0.0001
320 0.7609 nan 0.0100 -0.0000
340 0.7537 nan 0.0100 -0.0000
360 0.7469 nan 0.0100 -0.0000
380 0.7415 nan 0.0100 0.0000
400 0.7360 nan 0.0100 -0.0002
420 0.7303 nan 0.0100 0.0000
440 0.7262 nan 0.0100 -0.0000
460 0.7217 nan 0.0100 -0.0001
480 0.7173 nan 0.0100 0.0001
500 0.7130 nan 0.0100 -0.0001
520 0.7092 nan 0.0100 -0.0001
540 0.7055 nan 0.0100 -0.0000
560 0.7012 nan 0.0100 -0.0001
580 0.6974 nan 0.0100 -0.0001
600 0.6936 nan 0.0100 -0.0001
620 0.6894 nan 0.0100 -0.0000
640 0.6863 nan 0.0100 -0.0001
660 0.6829 nan 0.0100 -0.0002
680 0.6793 nan 0.0100 -0.0001
700 0.6760 nan 0.0100 -0.0001
720 0.6731 nan 0.0100 -0.0001
740 0.6698 nan 0.0100 -0.0001
760 0.6669 nan 0.0100 -0.0001
780 0.6642 nan 0.0100 -0.0001
800 0.6614 nan 0.0100 -0.0001
820 0.6584 nan 0.0100 -0.0001
840 0.6552 nan 0.0100 -0.0001
860 0.6523 nan 0.0100 0.0000
880 0.6494 nan 0.0100 -0.0001
900 0.6468 nan 0.0100 -0.0001
920 0.6445 nan 0.0100 -0.0001
940 0.6423 nan 0.0100 -0.0001
960 0.6398 nan 0.0100 -0.0001
980 0.6374 nan 0.0100 -0.0002
1000 0.6348 nan 0.0100 -0.0001
1020 0.6324 nan 0.0100 -0.0000
1040 0.6295 nan 0.0100 -0.0001
1060 0.6269 nan 0.0100 -0.0002
1080 0.6246 nan 0.0100 -0.0001
1100 0.6222 nan 0.0100 -0.0002
- Fold03.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2717 nan 0.1000 0.0297
2 1.2242 nan 0.1000 0.0244
3 1.1826 nan 0.1000 0.0196
4 1.1508 nan 0.1000 0.0156
5 1.1276 nan 0.1000 0.0129
6 1.1030 nan 0.1000 0.0115
7 1.0881 nan 0.1000 0.0065
8 1.0667 nan 0.1000 0.0083
9 1.0509 nan 0.1000 0.0068
10 1.0337 nan 0.1000 0.0069
20 0.9410 nan 0.1000 0.0021
40 0.8613 nan 0.1000 0.0010
60 0.8201 nan 0.1000 -0.0001
80 0.7963 nan 0.1000 -0.0002
100 0.7812 nan 0.1000 0.0003
120 0.7677 nan 0.1000 -0.0006
140 0.7595 nan 0.1000 -0.0015
160 0.7491 nan 0.1000 -0.0000
180 0.7409 nan 0.1000 -0.0004
200 0.7334 nan 0.1000 -0.0008
220 0.7270 nan 0.1000 -0.0005
240 0.7211 nan 0.1000 -0.0004
260 0.7166 nan 0.1000 -0.0003
280 0.7138 nan 0.1000 -0.0007
300 0.7102 nan 0.1000 -0.0006
320 0.7073 nan 0.1000 -0.0008
340 0.7038 nan 0.1000 -0.0012
360 0.7016 nan 0.1000 -0.0012
380 0.6971 nan 0.1000 -0.0002
400 0.6936 nan 0.1000 -0.0004
420 0.6917 nan 0.1000 -0.0010
440 0.6877 nan 0.1000 -0.0005
460 0.6844 nan 0.1000 -0.0003
480 0.6819 nan 0.1000 -0.0006
500 0.6792 nan 0.1000 -0.0008
520 0.6769 nan 0.1000 -0.0016
540 0.6754 nan 0.1000 -0.0006
560 0.6725 nan 0.1000 -0.0003
580 0.6708 nan 0.1000 -0.0008
600 0.6684 nan 0.1000 -0.0013
620 0.6672 nan 0.1000 -0.0005
640 0.6660 nan 0.1000 -0.0007
660 0.6636 nan 0.1000 -0.0010
680 0.6611 nan 0.1000 -0.0005
700 0.6589 nan 0.1000 -0.0010
720 0.6587 nan 0.1000 -0.0013
740 0.6559 nan 0.1000 -0.0012
760 0.6537 nan 0.1000 -0.0007
780 0.6514 nan 0.1000 -0.0006
800 0.6510 nan 0.1000 -0.0015
820 0.6491 nan 0.1000 -0.0014
840 0.6477 nan 0.1000 -0.0008
860 0.6457 nan 0.1000 -0.0006
880 0.6433 nan 0.1000 -0.0007
900 0.6426 nan 0.1000 -0.0006
920 0.6420 nan 0.1000 -0.0008
940 0.6407 nan 0.1000 -0.0004
960 0.6392 nan 0.1000 -0.0007
980 0.6377 nan 0.1000 -0.0008
1000 0.6367 nan 0.1000 -0.0006
1020 0.6351 nan 0.1000 -0.0007
1040 0.6339 nan 0.1000 -0.0007
1060 0.6331 nan 0.1000 -0.0016
1080 0.6312 nan 0.1000 -0.0003
1100 0.6300 nan 0.1000 -0.0008
- Fold03.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2574 nan 0.1000 0.0355
2 1.1965 nan 0.1000 0.0282
3 1.1465 nan 0.1000 0.0263
4 1.1040 nan 0.1000 0.0204
5 1.0692 nan 0.1000 0.0179
6 1.0368 nan 0.1000 0.0154
7 1.0090 nan 0.1000 0.0124
8 0.9849 nan 0.1000 0.0102
9 0.9628 nan 0.1000 0.0092
10 0.9447 nan 0.1000 0.0073
20 0.8522 nan 0.1000 0.0021
40 0.7773 nan 0.1000 0.0005
60 0.7374 nan 0.1000 -0.0011
80 0.7139 nan 0.1000 -0.0007
100 0.6945 nan 0.1000 -0.0006
120 0.6797 nan 0.1000 -0.0008
140 0.6586 nan 0.1000 -0.0001
160 0.6461 nan 0.1000 -0.0019
180 0.6339 nan 0.1000 -0.0013
200 0.6213 nan 0.1000 -0.0008
220 0.6081 nan 0.1000 -0.0005
240 0.6002 nan 0.1000 -0.0011
260 0.5901 nan 0.1000 -0.0007
280 0.5829 nan 0.1000 -0.0012
300 0.5760 nan 0.1000 -0.0012
320 0.5689 nan 0.1000 -0.0013
340 0.5582 nan 0.1000 -0.0006
360 0.5512 nan 0.1000 -0.0005
380 0.5470 nan 0.1000 -0.0015
400 0.5408 nan 0.1000 -0.0012
420 0.5334 nan 0.1000 -0.0006
440 0.5290 nan 0.1000 -0.0013
460 0.5216 nan 0.1000 -0.0009
480 0.5134 nan 0.1000 -0.0012
500 0.5083 nan 0.1000 -0.0014
520 0.5024 nan 0.1000 -0.0007
540 0.4979 nan 0.1000 -0.0011
560 0.4923 nan 0.1000 -0.0012
580 0.4877 nan 0.1000 -0.0011
600 0.4835 nan 0.1000 -0.0016
620 0.4782 nan 0.1000 -0.0009
640 0.4725 nan 0.1000 -0.0009
660 0.4677 nan 0.1000 -0.0006
680 0.4620 nan 0.1000 -0.0008
700 0.4573 nan 0.1000 -0.0015
720 0.4533 nan 0.1000 -0.0009
740 0.4477 nan 0.1000 -0.0007
760 0.4439 nan 0.1000 -0.0013
780 0.4404 nan 0.1000 -0.0009
800 0.4380 nan 0.1000 -0.0008
820 0.4344 nan 0.1000 -0.0017
840 0.4305 nan 0.1000 -0.0009
860 0.4283 nan 0.1000 -0.0009
880 0.4253 nan 0.1000 -0.0011
900 0.4234 nan 0.1000 -0.0007
920 0.4198 nan 0.1000 -0.0008
940 0.4171 nan 0.1000 -0.0006
960 0.4145 nan 0.1000 -0.0015
980 0.4104 nan 0.1000 -0.0011
1000 0.4066 nan 0.1000 -0.0010
1020 0.4038 nan 0.1000 -0.0017
1040 0.4016 nan 0.1000 -0.0004
1060 0.3977 nan 0.1000 -0.0005
1080 0.3954 nan 0.1000 -0.0014
1100 0.3917 nan 0.1000 -0.0004
- Fold03.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2546 nan 0.1000 0.0402
2 1.1934 nan 0.1000 0.0284
3 1.1358 nan 0.1000 0.0270
4 1.0856 nan 0.1000 0.0226
5 1.0432 nan 0.1000 0.0193
6 1.0087 nan 0.1000 0.0154
7 0.9811 nan 0.1000 0.0138
8 0.9581 nan 0.1000 0.0097
9 0.9346 nan 0.1000 0.0091
10 0.9171 nan 0.1000 0.0075
20 0.8136 nan 0.1000 0.0023
40 0.7362 nan 0.1000 -0.0011
60 0.6975 nan 0.1000 -0.0004
80 0.6691 nan 0.1000 -0.0006
100 0.6430 nan 0.1000 -0.0023
120 0.6196 nan 0.1000 -0.0006
140 0.6001 nan 0.1000 -0.0009
160 0.5804 nan 0.1000 -0.0010
180 0.5646 nan 0.1000 -0.0003
200 0.5479 nan 0.1000 -0.0008
220 0.5350 nan 0.1000 -0.0024
240 0.5215 nan 0.1000 -0.0009
260 0.5090 nan 0.1000 -0.0014
280 0.4985 nan 0.1000 -0.0017
300 0.4877 nan 0.1000 -0.0016
320 0.4761 nan 0.1000 -0.0009
340 0.4628 nan 0.1000 -0.0011
360 0.4528 nan 0.1000 -0.0015
380 0.4467 nan 0.1000 -0.0017
400 0.4379 nan 0.1000 -0.0009
420 0.4319 nan 0.1000 -0.0011
440 0.4238 nan 0.1000 -0.0005
460 0.4160 nan 0.1000 -0.0010
480 0.4071 nan 0.1000 -0.0007
500 0.3997 nan 0.1000 -0.0016
520 0.3929 nan 0.1000 -0.0008
540 0.3857 nan 0.1000 -0.0009
560 0.3818 nan 0.1000 -0.0011
580 0.3751 nan 0.1000 -0.0010
600 0.3700 nan 0.1000 -0.0020
620 0.3627 nan 0.1000 -0.0005
640 0.3576 nan 0.1000 -0.0009
660 0.3512 nan 0.1000 -0.0007
680 0.3469 nan 0.1000 -0.0010
700 0.3419 nan 0.1000 -0.0005
720 0.3368 nan 0.1000 -0.0005
740 0.3332 nan 0.1000 -0.0011
760 0.3295 nan 0.1000 -0.0015
780 0.3251 nan 0.1000 -0.0014
800 0.3209 nan 0.1000 -0.0011
820 0.3170 nan 0.1000 -0.0006
840 0.3112 nan 0.1000 -0.0006
860 0.3081 nan 0.1000 -0.0008
880 0.3047 nan 0.1000 -0.0009
900 0.2996 nan 0.1000 -0.0008
920 0.2963 nan 0.1000 -0.0008
940 0.2914 nan 0.1000 -0.0008
960 0.2874 nan 0.1000 -0.0008
980 0.2839 nan 0.1000 -0.0007
1000 0.2797 nan 0.1000 -0.0004
1020 0.2769 nan 0.1000 -0.0006
1040 0.2733 nan 0.1000 -0.0005
1060 0.2700 nan 0.1000 -0.0006
1080 0.2682 nan 0.1000 -0.0006
1100 0.2647 nan 0.1000 -0.0014
- Fold03.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3252 nan 0.0100 0.0030
2 1.3191 nan 0.0100 0.0029
3 1.3135 nan 0.0100 0.0027
4 1.3081 nan 0.0100 0.0027
5 1.3026 nan 0.0100 0.0027
6 1.2975 nan 0.0100 0.0027
7 1.2926 nan 0.0100 0.0025
8 1.2872 nan 0.0100 0.0026
9 1.2819 nan 0.0100 0.0025
10 1.2772 nan 0.0100 0.0025
20 1.2336 nan 0.0100 0.0020
40 1.1656 nan 0.0100 0.0014
60 1.1184 nan 0.0100 0.0010
80 1.0791 nan 0.0100 0.0008
100 1.0480 nan 0.0100 0.0006
120 1.0222 nan 0.0100 0.0005
140 1.0010 nan 0.0100 0.0005
160 0.9816 nan 0.0100 0.0004
180 0.9657 nan 0.0100 0.0003
200 0.9521 nan 0.0100 0.0003
220 0.9393 nan 0.0100 0.0002
240 0.9285 nan 0.0100 0.0002
260 0.9191 nan 0.0100 0.0001
280 0.9100 nan 0.0100 0.0002
300 0.9020 nan 0.0100 0.0001
320 0.8946 nan 0.0100 0.0001
340 0.8874 nan 0.0100 0.0001
360 0.8808 nan 0.0100 0.0001
380 0.8752 nan 0.0100 0.0000
400 0.8698 nan 0.0100 0.0001
420 0.8648 nan 0.0100 0.0001
440 0.8597 nan 0.0100 0.0001
460 0.8552 nan 0.0100 -0.0000
480 0.8504 nan 0.0100 0.0000
500 0.8462 nan 0.0100 0.0001
520 0.8422 nan 0.0100 0.0000
540 0.8385 nan 0.0100 -0.0000
560 0.8349 nan 0.0100 0.0000
580 0.8311 nan 0.0100 0.0000
600 0.8278 nan 0.0100 0.0000
620 0.8247 nan 0.0100 -0.0000
640 0.8219 nan 0.0100 -0.0000
660 0.8190 nan 0.0100 -0.0000
680 0.8164 nan 0.0100 0.0001
700 0.8135 nan 0.0100 0.0000
720 0.8109 nan 0.0100 0.0000
740 0.8084 nan 0.0100 -0.0000
760 0.8059 nan 0.0100 0.0000
780 0.8035 nan 0.0100 0.0000
800 0.8010 nan 0.0100 -0.0000
820 0.7987 nan 0.0100 -0.0000
840 0.7968 nan 0.0100 -0.0000
860 0.7946 nan 0.0100 -0.0000
880 0.7924 nan 0.0100 0.0000
900 0.7908 nan 0.0100 -0.0000
920 0.7892 nan 0.0100 -0.0001
940 0.7874 nan 0.0100 -0.0001
960 0.7856 nan 0.0100 -0.0000
980 0.7839 nan 0.0100 -0.0000
1000 0.7821 nan 0.0100 0.0000
1020 0.7807 nan 0.0100 0.0000
1040 0.7791 nan 0.0100 -0.0000
1060 0.7773 nan 0.0100 -0.0000
1080 0.7760 nan 0.0100 -0.0001
1100 0.7747 nan 0.0100 -0.0000
- Fold04.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3240 nan 0.0100 0.0036
2 1.3165 nan 0.0100 0.0036
3 1.3091 nan 0.0100 0.0035
4 1.3022 nan 0.0100 0.0033
5 1.2954 nan 0.0100 0.0029
6 1.2891 nan 0.0100 0.0033
7 1.2824 nan 0.0100 0.0032
8 1.2761 nan 0.0100 0.0032
9 1.2698 nan 0.0100 0.0033
10 1.2635 nan 0.0100 0.0030
20 1.2070 nan 0.0100 0.0025
40 1.1186 nan 0.0100 0.0018
60 1.0550 nan 0.0100 0.0013
80 1.0072 nan 0.0100 0.0007
100 0.9691 nan 0.0100 0.0008
120 0.9404 nan 0.0100 0.0007
140 0.9160 nan 0.0100 0.0005
160 0.8976 nan 0.0100 0.0003
180 0.8815 nan 0.0100 0.0004
200 0.8682 nan 0.0100 0.0002
220 0.8547 nan 0.0100 0.0002
240 0.8437 nan 0.0100 0.0003
260 0.8339 nan 0.0100 0.0001
280 0.8247 nan 0.0100 0.0002
300 0.8167 nan 0.0100 -0.0002
320 0.8089 nan 0.0100 0.0001
340 0.8026 nan 0.0100 0.0000
360 0.7960 nan 0.0100 0.0000
380 0.7901 nan 0.0100 0.0000
400 0.7848 nan 0.0100 -0.0001
420 0.7795 nan 0.0100 0.0000
440 0.7748 nan 0.0100 0.0000
460 0.7702 nan 0.0100 -0.0000
480 0.7662 nan 0.0100 0.0000
500 0.7623 nan 0.0100 0.0000
520 0.7587 nan 0.0100 -0.0001
540 0.7551 nan 0.0100 -0.0001
560 0.7511 nan 0.0100 -0.0000
580 0.7481 nan 0.0100 -0.0001
600 0.7452 nan 0.0100 0.0000
620 0.7421 nan 0.0100 0.0000
640 0.7392 nan 0.0100 -0.0001
660 0.7363 nan 0.0100 -0.0000
680 0.7338 nan 0.0100 -0.0000
700 0.7309 nan 0.0100 -0.0000
720 0.7279 nan 0.0100 -0.0001
740 0.7254 nan 0.0100 -0.0000
760 0.7230 nan 0.0100 -0.0000
780 0.7204 nan 0.0100 -0.0001
800 0.7179 nan 0.0100 -0.0001
820 0.7153 nan 0.0100 -0.0001
840 0.7131 nan 0.0100 -0.0001
860 0.7111 nan 0.0100 -0.0001
880 0.7089 nan 0.0100 -0.0001
900 0.7066 nan 0.0100 -0.0002
920 0.7043 nan 0.0100 -0.0000
940 0.7020 nan 0.0100 -0.0001
960 0.6998 nan 0.0100 -0.0000
980 0.6978 nan 0.0100 -0.0001
1000 0.6957 nan 0.0100 -0.0001
1020 0.6938 nan 0.0100 -0.0001
1040 0.6919 nan 0.0100 -0.0001
1060 0.6901 nan 0.0100 -0.0001
1080 0.6881 nan 0.0100 -0.0001
1100 0.6863 nan 0.0100 -0.0001
- Fold04.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3230 nan 0.0100 0.0040
2 1.3152 nan 0.0100 0.0040
3 1.3068 nan 0.0100 0.0040
4 1.2990 nan 0.0100 0.0037
5 1.2916 nan 0.0100 0.0037
6 1.2835 nan 0.0100 0.0035
7 1.2755 nan 0.0100 0.0036
8 1.2686 nan 0.0100 0.0036
9 1.2611 nan 0.0100 0.0033
10 1.2539 nan 0.0100 0.0032
20 1.1919 nan 0.0100 0.0027
40 1.0962 nan 0.0100 0.0015
60 1.0268 nan 0.0100 0.0012
80 0.9746 nan 0.0100 0.0011
100 0.9333 nan 0.0100 0.0008
120 0.9013 nan 0.0100 0.0006
140 0.8766 nan 0.0100 0.0004
160 0.8565 nan 0.0100 0.0003
180 0.8401 nan 0.0100 0.0001
200 0.8254 nan 0.0100 0.0002
220 0.8127 nan 0.0100 0.0002
240 0.8016 nan 0.0100 0.0000
260 0.7926 nan 0.0100 -0.0001
280 0.7839 nan 0.0100 0.0001
300 0.7756 nan 0.0100 0.0000
320 0.7679 nan 0.0100 -0.0001
340 0.7607 nan 0.0100 0.0001
360 0.7538 nan 0.0100 -0.0000
380 0.7480 nan 0.0100 -0.0001
400 0.7422 nan 0.0100 -0.0001
420 0.7366 nan 0.0100 -0.0002
440 0.7309 nan 0.0100 -0.0000
460 0.7262 nan 0.0100 -0.0000
480 0.7213 nan 0.0100 -0.0001
500 0.7165 nan 0.0100 -0.0001
520 0.7124 nan 0.0100 -0.0000
540 0.7079 nan 0.0100 0.0000
560 0.7039 nan 0.0100 0.0000
580 0.7001 nan 0.0100 -0.0001
600 0.6963 nan 0.0100 -0.0001
620 0.6917 nan 0.0100 -0.0002
640 0.6882 nan 0.0100 -0.0001
660 0.6845 nan 0.0100 0.0000
680 0.6810 nan 0.0100 -0.0002
700 0.6773 nan 0.0100 -0.0000
720 0.6737 nan 0.0100 -0.0000
740 0.6704 nan 0.0100 -0.0002
760 0.6673 nan 0.0100 -0.0001
780 0.6645 nan 0.0100 -0.0000
800 0.6619 nan 0.0100 -0.0002
820 0.6589 nan 0.0100 -0.0000
840 0.6559 nan 0.0100 -0.0002
860 0.6526 nan 0.0100 -0.0000
880 0.6500 nan 0.0100 -0.0002
900 0.6474 nan 0.0100 -0.0001
920 0.6442 nan 0.0100 -0.0001
940 0.6416 nan 0.0100 -0.0001
960 0.6394 nan 0.0100 -0.0001
980 0.6366 nan 0.0100 -0.0001
1000 0.6341 nan 0.0100 -0.0002
1020 0.6317 nan 0.0100 -0.0001
1040 0.6293 nan 0.0100 -0.0001
1060 0.6268 nan 0.0100 -0.0001
1080 0.6246 nan 0.0100 -0.0000
1100 0.6223 nan 0.0100 -0.0001
- Fold04.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2702 nan 0.1000 0.0267
2 1.2260 nan 0.1000 0.0229
3 1.1902 nan 0.1000 0.0173
4 1.1593 nan 0.1000 0.0157
5 1.1323 nan 0.1000 0.0131
6 1.1120 nan 0.1000 0.0085
7 1.0902 nan 0.1000 0.0102
8 1.0721 nan 0.1000 0.0084
9 1.0566 nan 0.1000 0.0073
10 1.0412 nan 0.1000 0.0071
20 0.9502 nan 0.1000 0.0020
40 0.8674 nan 0.1000 0.0008
60 0.8292 nan 0.1000 0.0000
80 0.8025 nan 0.1000 -0.0003
100 0.7827 nan 0.1000 -0.0003
120 0.7671 nan 0.1000 -0.0007
140 0.7581 nan 0.1000 -0.0008
160 0.7474 nan 0.1000 -0.0005
180 0.7405 nan 0.1000 -0.0006
200 0.7329 nan 0.1000 -0.0003
220 0.7270 nan 0.1000 -0.0001
240 0.7203 nan 0.1000 -0.0010
260 0.7153 nan 0.1000 -0.0004
280 0.7094 nan 0.1000 -0.0004
300 0.7049 nan 0.1000 -0.0005
320 0.6996 nan 0.1000 -0.0012
340 0.6949 nan 0.1000 -0.0005
360 0.6919 nan 0.1000 -0.0007
380 0.6893 nan 0.1000 -0.0010
400 0.6861 nan 0.1000 -0.0007
420 0.6835 nan 0.1000 -0.0007
440 0.6804 nan 0.1000 -0.0012
460 0.6781 nan 0.1000 -0.0009
480 0.6754 nan 0.1000 -0.0013
500 0.6731 nan 0.1000 -0.0005
520 0.6707 nan 0.1000 -0.0007
540 0.6685 nan 0.1000 -0.0005
560 0.6661 nan 0.1000 -0.0010
580 0.6648 nan 0.1000 -0.0012
600 0.6628 nan 0.1000 -0.0009
620 0.6610 nan 0.1000 -0.0001
640 0.6600 nan 0.1000 -0.0006
660 0.6569 nan 0.1000 -0.0004
680 0.6563 nan 0.1000 -0.0007
700 0.6540 nan 0.1000 -0.0007
720 0.6524 nan 0.1000 -0.0005
740 0.6503 nan 0.1000 -0.0013
760 0.6489 nan 0.1000 -0.0009
780 0.6470 nan 0.1000 -0.0005
800 0.6452 nan 0.1000 -0.0012
820 0.6441 nan 0.1000 -0.0006
840 0.6416 nan 0.1000 -0.0004
860 0.6407 nan 0.1000 -0.0006
880 0.6393 nan 0.1000 -0.0010
900 0.6373 nan 0.1000 -0.0013
920 0.6364 nan 0.1000 -0.0008
940 0.6349 nan 0.1000 -0.0008
960 0.6330 nan 0.1000 -0.0013
980 0.6317 nan 0.1000 -0.0004
1000 0.6290 nan 0.1000 -0.0003
1020 0.6293 nan 0.1000 -0.0008
1040 0.6279 nan 0.1000 -0.0009
1060 0.6254 nan 0.1000 -0.0009
1080 0.6244 nan 0.1000 -0.0010
1100 0.6229 nan 0.1000 -0.0003
- Fold04.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2567 nan 0.1000 0.0319
2 1.1937 nan 0.1000 0.0294
3 1.1440 nan 0.1000 0.0238
4 1.1071 nan 0.1000 0.0200
5 1.0731 nan 0.1000 0.0162
6 1.0473 nan 0.1000 0.0128
7 1.0230 nan 0.1000 0.0125
8 0.9993 nan 0.1000 0.0102
9 0.9808 nan 0.1000 0.0088
10 0.9626 nan 0.1000 0.0080
20 0.8622 nan 0.1000 0.0013
40 0.7827 nan 0.1000 0.0001
60 0.7427 nan 0.1000 -0.0008
80 0.7129 nan 0.1000 -0.0008
100 0.6941 nan 0.1000 -0.0006
120 0.6738 nan 0.1000 -0.0011
140 0.6604 nan 0.1000 -0.0010
160 0.6466 nan 0.1000 -0.0012
180 0.6352 nan 0.1000 -0.0010
200 0.6238 nan 0.1000 -0.0010
220 0.6168 nan 0.1000 -0.0005
240 0.6062 nan 0.1000 -0.0007
260 0.5966 nan 0.1000 -0.0028
280 0.5876 nan 0.1000 -0.0012
300 0.5780 nan 0.1000 -0.0002
320 0.5671 nan 0.1000 -0.0009
340 0.5613 nan 0.1000 -0.0011
360 0.5528 nan 0.1000 -0.0012
380 0.5453 nan 0.1000 -0.0008
400 0.5388 nan 0.1000 -0.0018
420 0.5338 nan 0.1000 -0.0005
440 0.5270 nan 0.1000 -0.0013
460 0.5182 nan 0.1000 -0.0006
480 0.5126 nan 0.1000 -0.0006
500 0.5063 nan 0.1000 -0.0010
520 0.5004 nan 0.1000 -0.0014
540 0.4935 nan 0.1000 -0.0012
560 0.4864 nan 0.1000 -0.0005
580 0.4832 nan 0.1000 -0.0017
600 0.4760 nan 0.1000 -0.0011
620 0.4710 nan 0.1000 -0.0012
640 0.4658 nan 0.1000 -0.0012
660 0.4596 nan 0.1000 -0.0009
680 0.4552 nan 0.1000 -0.0007
700 0.4498 nan 0.1000 -0.0010
720 0.4467 nan 0.1000 -0.0015
740 0.4420 nan 0.1000 -0.0006
760 0.4379 nan 0.1000 -0.0005
780 0.4319 nan 0.1000 -0.0011
800 0.4299 nan 0.1000 -0.0011
820 0.4272 nan 0.1000 -0.0005
840 0.4230 nan 0.1000 -0.0006
860 0.4177 nan 0.1000 -0.0006
880 0.4149 nan 0.1000 -0.0008
900 0.4121 nan 0.1000 -0.0006
920 0.4081 nan 0.1000 -0.0008
940 0.4045 nan 0.1000 -0.0007
960 0.4003 nan 0.1000 -0.0014
980 0.3974 nan 0.1000 -0.0010
1000 0.3938 nan 0.1000 -0.0007
1020 0.3898 nan 0.1000 -0.0008
1040 0.3862 nan 0.1000 -0.0009
1060 0.3833 nan 0.1000 -0.0008
1080 0.3806 nan 0.1000 -0.0009
1100 0.3777 nan 0.1000 -0.0009
- Fold04.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2540 nan 0.1000 0.0406
2 1.1888 nan 0.1000 0.0309
3 1.1378 nan 0.1000 0.0240
4 1.0924 nan 0.1000 0.0218
5 1.0554 nan 0.1000 0.0185
6 1.0220 nan 0.1000 0.0173
7 0.9935 nan 0.1000 0.0125
8 0.9718 nan 0.1000 0.0110
9 0.9519 nan 0.1000 0.0092
10 0.9347 nan 0.1000 0.0080
20 0.8225 nan 0.1000 0.0019
40 0.7432 nan 0.1000 -0.0007
60 0.6975 nan 0.1000 0.0005
80 0.6624 nan 0.1000 -0.0005
100 0.6349 nan 0.1000 -0.0020
120 0.6149 nan 0.1000 -0.0011
140 0.5922 nan 0.1000 -0.0008
160 0.5744 nan 0.1000 -0.0009
180 0.5621 nan 0.1000 -0.0010
200 0.5455 nan 0.1000 -0.0021
220 0.5329 nan 0.1000 -0.0006
240 0.5191 nan 0.1000 -0.0009
260 0.5033 nan 0.1000 -0.0015
280 0.4922 nan 0.1000 -0.0005
300 0.4823 nan 0.1000 -0.0010
320 0.4679 nan 0.1000 -0.0017
340 0.4557 nan 0.1000 -0.0012
360 0.4482 nan 0.1000 -0.0012
380 0.4405 nan 0.1000 -0.0018
400 0.4317 nan 0.1000 -0.0013
420 0.4212 nan 0.1000 -0.0009
440 0.4134 nan 0.1000 -0.0005
460 0.4049 nan 0.1000 -0.0011
480 0.3976 nan 0.1000 -0.0020
500 0.3914 nan 0.1000 -0.0018
520 0.3839 nan 0.1000 -0.0005
540 0.3768 nan 0.1000 -0.0010
560 0.3706 nan 0.1000 -0.0007
580 0.3635 nan 0.1000 -0.0007
600 0.3569 nan 0.1000 -0.0008
620 0.3506 nan 0.1000 -0.0006
640 0.3463 nan 0.1000 -0.0007
660 0.3399 nan 0.1000 -0.0008
680 0.3340 nan 0.1000 -0.0011
700 0.3298 nan 0.1000 -0.0010
720 0.3229 nan 0.1000 -0.0010
740 0.3190 nan 0.1000 -0.0013
760 0.3147 nan 0.1000 -0.0006
780 0.3089 nan 0.1000 -0.0011
800 0.3049 nan 0.1000 -0.0016
820 0.3011 nan 0.1000 -0.0015
840 0.2971 nan 0.1000 -0.0003
860 0.2927 nan 0.1000 -0.0009
880 0.2888 nan 0.1000 -0.0008
900 0.2844 nan 0.1000 -0.0008
920 0.2806 nan 0.1000 -0.0008
940 0.2764 nan 0.1000 -0.0006
960 0.2723 nan 0.1000 -0.0013
980 0.2677 nan 0.1000 -0.0010
1000 0.2645 nan 0.1000 -0.0009
1020 0.2619 nan 0.1000 -0.0005
1040 0.2588 nan 0.1000 -0.0009
1060 0.2560 nan 0.1000 -0.0005
1080 0.2533 nan 0.1000 -0.0010
1100 0.2501 nan 0.1000 -0.0009
- Fold04.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3254 nan 0.0100 0.0028
2 1.3197 nan 0.0100 0.0028
3 1.3145 nan 0.0100 0.0028
4 1.3091 nan 0.0100 0.0028
5 1.3037 nan 0.0100 0.0026
6 1.2986 nan 0.0100 0.0026
7 1.2930 nan 0.0100 0.0025
8 1.2884 nan 0.0100 0.0025
9 1.2834 nan 0.0100 0.0025
10 1.2786 nan 0.0100 0.0024
20 1.2342 nan 0.0100 0.0020
40 1.1670 nan 0.0100 0.0014
60 1.1203 nan 0.0100 0.0010
80 1.0834 nan 0.0100 0.0007
100 1.0529 nan 0.0100 0.0006
120 1.0282 nan 0.0100 0.0005
140 1.0069 nan 0.0100 0.0003
160 0.9888 nan 0.0100 0.0003
180 0.9732 nan 0.0100 0.0002
200 0.9603 nan 0.0100 0.0003
220 0.9481 nan 0.0100 0.0002
240 0.9379 nan 0.0100 -0.0000
260 0.9280 nan 0.0100 0.0001
280 0.9197 nan 0.0100 0.0000
300 0.9114 nan 0.0100 0.0001
320 0.9043 nan 0.0100 0.0001
340 0.8986 nan 0.0100 0.0001
360 0.8924 nan 0.0100 0.0001
380 0.8871 nan 0.0100 0.0000
400 0.8823 nan 0.0100 0.0000
420 0.8775 nan 0.0100 0.0000
440 0.8734 nan 0.0100 0.0001
460 0.8690 nan 0.0100 -0.0000
480 0.8644 nan 0.0100 -0.0000
500 0.8601 nan 0.0100 -0.0000
520 0.8565 nan 0.0100 0.0001
540 0.8531 nan 0.0100 0.0000
560 0.8497 nan 0.0100 0.0000
580 0.8469 nan 0.0100 0.0000
600 0.8438 nan 0.0100 -0.0000
620 0.8406 nan 0.0100 -0.0000
640 0.8379 nan 0.0100 0.0000
660 0.8350 nan 0.0100 0.0000
680 0.8326 nan 0.0100 -0.0000
700 0.8301 nan 0.0100 -0.0000
720 0.8275 nan 0.0100 0.0000
740 0.8253 nan 0.0100 0.0000
760 0.8232 nan 0.0100 -0.0000
780 0.8209 nan 0.0100 -0.0000
800 0.8187 nan 0.0100 -0.0001
820 0.8167 nan 0.0100 -0.0002
840 0.8146 nan 0.0100 -0.0000
860 0.8127 nan 0.0100 0.0000
880 0.8109 nan 0.0100 -0.0001
900 0.8093 nan 0.0100 -0.0000
920 0.8071 nan 0.0100 -0.0000
940 0.8053 nan 0.0100 -0.0000
960 0.8033 nan 0.0100 -0.0001
980 0.8016 nan 0.0100 -0.0000
1000 0.8002 nan 0.0100 -0.0000
1020 0.7986 nan 0.0100 -0.0001
1040 0.7970 nan 0.0100 -0.0000
1060 0.7954 nan 0.0100 -0.0001
1080 0.7940 nan 0.0100 -0.0000
1100 0.7926 nan 0.0100 -0.0001
- Fold05.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3243 nan 0.0100 0.0036
2 1.3169 nan 0.0100 0.0034
3 1.3099 nan 0.0100 0.0035
4 1.3031 nan 0.0100 0.0033
5 1.2966 nan 0.0100 0.0033
6 1.2902 nan 0.0100 0.0030
7 1.2839 nan 0.0100 0.0033
8 1.2773 nan 0.0100 0.0033
9 1.2712 nan 0.0100 0.0029
10 1.2655 nan 0.0100 0.0027
20 1.2094 nan 0.0100 0.0026
40 1.1232 nan 0.0100 0.0018
60 1.0598 nan 0.0100 0.0011
80 1.0124 nan 0.0100 0.0010
100 0.9749 nan 0.0100 0.0007
120 0.9466 nan 0.0100 0.0005
140 0.9229 nan 0.0100 0.0003
160 0.9036 nan 0.0100 0.0002
180 0.8875 nan 0.0100 0.0003
200 0.8744 nan 0.0100 0.0001
220 0.8628 nan 0.0100 0.0001
240 0.8524 nan 0.0100 0.0001
260 0.8432 nan 0.0100 0.0001
280 0.8335 nan 0.0100 0.0001
300 0.8260 nan 0.0100 0.0001
320 0.8195 nan 0.0100 -0.0001
340 0.8133 nan 0.0100 0.0000
360 0.8068 nan 0.0100 0.0001
380 0.8012 nan 0.0100 0.0001
400 0.7961 nan 0.0100 0.0000
420 0.7913 nan 0.0100 -0.0001
440 0.7868 nan 0.0100 -0.0000
460 0.7827 nan 0.0100 0.0000
480 0.7787 nan 0.0100 -0.0000
500 0.7746 nan 0.0100 -0.0001
520 0.7713 nan 0.0100 -0.0000
540 0.7680 nan 0.0100 -0.0001
560 0.7643 nan 0.0100 -0.0000
580 0.7609 nan 0.0100 -0.0000
600 0.7576 nan 0.0100 -0.0001
620 0.7546 nan 0.0100 -0.0001
640 0.7516 nan 0.0100 -0.0001
660 0.7488 nan 0.0100 -0.0001
680 0.7458 nan 0.0100 -0.0000
700 0.7430 nan 0.0100 -0.0001
720 0.7404 nan 0.0100 -0.0001
740 0.7383 nan 0.0100 -0.0002
760 0.7354 nan 0.0100 -0.0002
780 0.7328 nan 0.0100 -0.0001
800 0.7300 nan 0.0100 -0.0000
820 0.7275 nan 0.0100 -0.0002
840 0.7252 nan 0.0100 -0.0001
860 0.7230 nan 0.0100 -0.0001
880 0.7209 nan 0.0100 -0.0000
900 0.7188 nan 0.0100 -0.0001
920 0.7163 nan 0.0100 -0.0001
940 0.7142 nan 0.0100 -0.0001
960 0.7124 nan 0.0100 -0.0000
980 0.7104 nan 0.0100 -0.0001
1000 0.7084 nan 0.0100 -0.0001
1020 0.7062 nan 0.0100 -0.0001
1040 0.7041 nan 0.0100 -0.0001
1060 0.7026 nan 0.0100 -0.0000
1080 0.7009 nan 0.0100 -0.0000
1100 0.6992 nan 0.0100 -0.0000
- Fold05.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3230 nan 0.0100 0.0039
2 1.3143 nan 0.0100 0.0033
3 1.3068 nan 0.0100 0.0038
4 1.2992 nan 0.0100 0.0036
5 1.2915 nan 0.0100 0.0041
6 1.2841 nan 0.0100 0.0035
7 1.2772 nan 0.0100 0.0033
8 1.2698 nan 0.0100 0.0033
9 1.2628 nan 0.0100 0.0034
10 1.2560 nan 0.0100 0.0032
20 1.1943 nan 0.0100 0.0025
40 1.0999 nan 0.0100 0.0020
60 1.0294 nan 0.0100 0.0013
80 0.9779 nan 0.0100 0.0008
100 0.9378 nan 0.0100 0.0009
120 0.9073 nan 0.0100 0.0006
140 0.8834 nan 0.0100 0.0005
160 0.8630 nan 0.0100 0.0003
180 0.8471 nan 0.0100 0.0002
200 0.8327 nan 0.0100 0.0001
220 0.8211 nan 0.0100 0.0001
240 0.8103 nan 0.0100 -0.0001
260 0.8001 nan 0.0100 0.0001
280 0.7915 nan 0.0100 0.0001
300 0.7832 nan 0.0100 -0.0002
320 0.7759 nan 0.0100 -0.0001
340 0.7699 nan 0.0100 -0.0002
360 0.7639 nan 0.0100 -0.0001
380 0.7578 nan 0.0100 -0.0000
400 0.7522 nan 0.0100 -0.0000
420 0.7467 nan 0.0100 0.0001
440 0.7415 nan 0.0100 -0.0001
460 0.7374 nan 0.0100 -0.0001
480 0.7329 nan 0.0100 -0.0001
500 0.7282 nan 0.0100 -0.0000
520 0.7241 nan 0.0100 -0.0001
540 0.7198 nan 0.0100 -0.0001
560 0.7158 nan 0.0100 0.0000
580 0.7121 nan 0.0100 -0.0001
600 0.7086 nan 0.0100 -0.0000
620 0.7044 nan 0.0100 -0.0003
640 0.7007 nan 0.0100 -0.0000
660 0.6975 nan 0.0100 -0.0002
680 0.6942 nan 0.0100 -0.0002
700 0.6910 nan 0.0100 -0.0000
720 0.6876 nan 0.0100 -0.0001
740 0.6850 nan 0.0100 -0.0000
760 0.6821 nan 0.0100 -0.0002
780 0.6796 nan 0.0100 -0.0000
800 0.6764 nan 0.0100 -0.0000
820 0.6735 nan 0.0100 -0.0001
840 0.6712 nan 0.0100 -0.0002
860 0.6684 nan 0.0100 -0.0001
880 0.6657 nan 0.0100 -0.0001
900 0.6630 nan 0.0100 -0.0001
920 0.6601 nan 0.0100 -0.0001
940 0.6581 nan 0.0100 -0.0001
960 0.6551 nan 0.0100 -0.0001
980 0.6527 nan 0.0100 -0.0002
1000 0.6503 nan 0.0100 -0.0002
1020 0.6479 nan 0.0100 -0.0001
1040 0.6453 nan 0.0100 -0.0001
1060 0.6423 nan 0.0100 -0.0001
1080 0.6399 nan 0.0100 -0.0001
1100 0.6375 nan 0.0100 -0.0001
- Fold05.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2759 nan 0.1000 0.0269
2 1.2310 nan 0.1000 0.0210
3 1.1922 nan 0.1000 0.0185
4 1.1619 nan 0.1000 0.0144
5 1.1336 nan 0.1000 0.0125
6 1.1114 nan 0.1000 0.0102
7 1.0939 nan 0.1000 0.0083
8 1.0791 nan 0.1000 0.0064
9 1.0594 nan 0.1000 0.0078
10 1.0436 nan 0.1000 0.0070
20 0.9526 nan 0.1000 0.0029
40 0.8769 nan 0.1000 0.0010
60 0.8379 nan 0.1000 -0.0005
80 0.8155 nan 0.1000 -0.0007
100 0.8007 nan 0.1000 -0.0010
120 0.7854 nan 0.1000 -0.0010
140 0.7755 nan 0.1000 -0.0002
160 0.7668 nan 0.1000 -0.0001
180 0.7597 nan 0.1000 -0.0006
200 0.7534 nan 0.1000 -0.0006
220 0.7450 nan 0.1000 -0.0012
240 0.7393 nan 0.1000 -0.0012
260 0.7342 nan 0.1000 -0.0012
280 0.7303 nan 0.1000 -0.0006
300 0.7271 nan 0.1000 -0.0005
320 0.7229 nan 0.1000 -0.0005
340 0.7194 nan 0.1000 -0.0010
360 0.7167 nan 0.1000 -0.0010
380 0.7123 nan 0.1000 -0.0005
400 0.7092 nan 0.1000 -0.0009
420 0.7075 nan 0.1000 -0.0009
440 0.7049 nan 0.1000 -0.0008
460 0.7021 nan 0.1000 -0.0009
480 0.6997 nan 0.1000 -0.0007
500 0.6975 nan 0.1000 -0.0005
520 0.6951 nan 0.1000 -0.0006
540 0.6923 nan 0.1000 -0.0007
560 0.6903 nan 0.1000 -0.0007
580 0.6881 nan 0.1000 -0.0009
600 0.6858 nan 0.1000 -0.0003
620 0.6847 nan 0.1000 -0.0007
640 0.6826 nan 0.1000 -0.0006
660 0.6803 nan 0.1000 -0.0010
680 0.6776 nan 0.1000 -0.0005
700 0.6753 nan 0.1000 -0.0008
720 0.6740 nan 0.1000 -0.0006
740 0.6717 nan 0.1000 -0.0006
760 0.6705 nan 0.1000 -0.0008
780 0.6684 nan 0.1000 -0.0009
800 0.6663 nan 0.1000 -0.0007
820 0.6645 nan 0.1000 -0.0011
840 0.6617 nan 0.1000 -0.0008
860 0.6601 nan 0.1000 -0.0006
880 0.6602 nan 0.1000 -0.0006
900 0.6579 nan 0.1000 -0.0008
920 0.6553 nan 0.1000 -0.0012
940 0.6540 nan 0.1000 -0.0009
960 0.6519 nan 0.1000 -0.0008
980 0.6499 nan 0.1000 -0.0009
1000 0.6480 nan 0.1000 -0.0006
1020 0.6467 nan 0.1000 -0.0006
1040 0.6464 nan 0.1000 -0.0007
1060 0.6441 nan 0.1000 -0.0006
1080 0.6429 nan 0.1000 -0.0006
1100 0.6410 nan 0.1000 -0.0006
- Fold05.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2608 nan 0.1000 0.0345
2 1.2007 nan 0.1000 0.0278
3 1.1551 nan 0.1000 0.0216
4 1.1142 nan 0.1000 0.0209
5 1.0817 nan 0.1000 0.0169
6 1.0516 nan 0.1000 0.0143
7 1.0255 nan 0.1000 0.0117
8 1.0009 nan 0.1000 0.0085
9 0.9819 nan 0.1000 0.0095
10 0.9654 nan 0.1000 0.0075
20 0.8772 nan 0.1000 0.0021
40 0.7963 nan 0.1000 0.0004
60 0.7576 nan 0.1000 -0.0001
80 0.7322 nan 0.1000 -0.0005
100 0.7152 nan 0.1000 -0.0009
120 0.6981 nan 0.1000 -0.0010
140 0.6807 nan 0.1000 -0.0009
160 0.6631 nan 0.1000 -0.0007
180 0.6470 nan 0.1000 -0.0004
200 0.6355 nan 0.1000 -0.0011
220 0.6258 nan 0.1000 -0.0012
240 0.6186 nan 0.1000 -0.0011
260 0.6094 nan 0.1000 -0.0003
280 0.5968 nan 0.1000 -0.0008
300 0.5862 nan 0.1000 -0.0017
320 0.5779 nan 0.1000 -0.0006
340 0.5686 nan 0.1000 -0.0012
360 0.5582 nan 0.1000 -0.0016
380 0.5487 nan 0.1000 -0.0012
400 0.5386 nan 0.1000 -0.0004
420 0.5330 nan 0.1000 -0.0003
440 0.5260 nan 0.1000 -0.0025
460 0.5193 nan 0.1000 -0.0016
480 0.5133 nan 0.1000 -0.0005
500 0.5079 nan 0.1000 -0.0015
520 0.5033 nan 0.1000 -0.0007
540 0.4969 nan 0.1000 -0.0011
560 0.4914 nan 0.1000 -0.0008
580 0.4866 nan 0.1000 -0.0006
600 0.4820 nan 0.1000 -0.0008
620 0.4754 nan 0.1000 -0.0010
640 0.4670 nan 0.1000 -0.0011
660 0.4607 nan 0.1000 -0.0009
680 0.4573 nan 0.1000 -0.0008
700 0.4542 nan 0.1000 -0.0008
720 0.4493 nan 0.1000 -0.0006
740 0.4467 nan 0.1000 -0.0008
760 0.4423 nan 0.1000 -0.0006
780 0.4382 nan 0.1000 -0.0016
800 0.4350 nan 0.1000 -0.0005
820 0.4298 nan 0.1000 -0.0003
840 0.4260 nan 0.1000 -0.0006
860 0.4199 nan 0.1000 -0.0010
880 0.4156 nan 0.1000 -0.0012
900 0.4130 nan 0.1000 -0.0008
920 0.4096 nan 0.1000 -0.0007
940 0.4049 nan 0.1000 -0.0012
960 0.4019 nan 0.1000 -0.0011
980 0.3995 nan 0.1000 -0.0011
1000 0.3960 nan 0.1000 -0.0007
1020 0.3941 nan 0.1000 -0.0006
1040 0.3921 nan 0.1000 -0.0011
1060 0.3882 nan 0.1000 -0.0011
1080 0.3847 nan 0.1000 -0.0006
1100 0.3806 nan 0.1000 -0.0014
- Fold05.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2552 nan 0.1000 0.0337
2 1.1903 nan 0.1000 0.0303
3 1.1356 nan 0.1000 0.0253
4 1.0917 nan 0.1000 0.0227
5 1.0573 nan 0.1000 0.0171
6 1.0233 nan 0.1000 0.0164
7 0.9950 nan 0.1000 0.0123
8 0.9684 nan 0.1000 0.0099
9 0.9469 nan 0.1000 0.0089
10 0.9265 nan 0.1000 0.0072
20 0.8298 nan 0.1000 0.0015
40 0.7508 nan 0.1000 -0.0010
60 0.7061 nan 0.1000 -0.0008
80 0.6774 nan 0.1000 -0.0010
100 0.6495 nan 0.1000 -0.0010
120 0.6282 nan 0.1000 -0.0013
140 0.6058 nan 0.1000 -0.0014
160 0.5848 nan 0.1000 -0.0004
180 0.5685 nan 0.1000 -0.0011
200 0.5547 nan 0.1000 -0.0017
220 0.5422 nan 0.1000 -0.0012
240 0.5276 nan 0.1000 -0.0009
260 0.5125 nan 0.1000 -0.0017
280 0.4993 nan 0.1000 -0.0002
300 0.4873 nan 0.1000 -0.0013
320 0.4765 nan 0.1000 -0.0006
340 0.4657 nan 0.1000 -0.0008
360 0.4571 nan 0.1000 -0.0010
380 0.4507 nan 0.1000 -0.0011
400 0.4437 nan 0.1000 -0.0010
420 0.4370 nan 0.1000 -0.0009
440 0.4273 nan 0.1000 -0.0009
460 0.4176 nan 0.1000 -0.0008
480 0.4116 nan 0.1000 -0.0010
500 0.4016 nan 0.1000 -0.0006
520 0.3945 nan 0.1000 -0.0007
540 0.3881 nan 0.1000 -0.0012
560 0.3791 nan 0.1000 -0.0008
580 0.3728 nan 0.1000 -0.0012
600 0.3684 nan 0.1000 -0.0008
620 0.3624 nan 0.1000 -0.0007
640 0.3555 nan 0.1000 -0.0011
660 0.3489 nan 0.1000 -0.0011
680 0.3427 nan 0.1000 -0.0006
700 0.3380 nan 0.1000 -0.0008
720 0.3328 nan 0.1000 -0.0011
740 0.3277 nan 0.1000 -0.0007
760 0.3229 nan 0.1000 -0.0013
780 0.3175 nan 0.1000 -0.0012
800 0.3130 nan 0.1000 -0.0009
820 0.3092 nan 0.1000 -0.0007
840 0.3033 nan 0.1000 -0.0006
860 0.2973 nan 0.1000 -0.0006
880 0.2932 nan 0.1000 -0.0016
900 0.2876 nan 0.1000 -0.0013
920 0.2842 nan 0.1000 -0.0005
940 0.2799 nan 0.1000 -0.0009
960 0.2770 nan 0.1000 -0.0007
980 0.2719 nan 0.1000 -0.0007
1000 0.2691 nan 0.1000 -0.0009
1020 0.2653 nan 0.1000 -0.0011
1040 0.2623 nan 0.1000 -0.0006
1060 0.2574 nan 0.1000 -0.0011
1080 0.2546 nan 0.1000 -0.0008
1100 0.2506 nan 0.1000 -0.0009
- Fold05.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3269 nan 0.0100 0.0028
2 1.3215 nan 0.0100 0.0027
3 1.3154 nan 0.0100 0.0026
4 1.3104 nan 0.0100 0.0026
5 1.3052 nan 0.0100 0.0025
6 1.2999 nan 0.0100 0.0025
7 1.2946 nan 0.0100 0.0025
8 1.2903 nan 0.0100 0.0024
9 1.2858 nan 0.0100 0.0024
10 1.2814 nan 0.0100 0.0023
20 1.2397 nan 0.0100 0.0019
40 1.1751 nan 0.0100 0.0008
60 1.1297 nan 0.0100 0.0009
80 1.0932 nan 0.0100 0.0008
100 1.0648 nan 0.0100 0.0006
120 1.0417 nan 0.0100 0.0005
140 1.0207 nan 0.0100 0.0003
160 1.0032 nan 0.0100 0.0003
180 0.9882 nan 0.0100 0.0003
200 0.9738 nan 0.0100 0.0002
220 0.9616 nan 0.0100 0.0002
240 0.9509 nan 0.0100 0.0002
260 0.9414 nan 0.0100 0.0001
280 0.9329 nan 0.0100 0.0000
300 0.9247 nan 0.0100 0.0001
320 0.9173 nan 0.0100 0.0002
340 0.9103 nan 0.0100 0.0001
360 0.9040 nan 0.0100 0.0001
380 0.8981 nan 0.0100 0.0001
400 0.8926 nan 0.0100 -0.0000
420 0.8878 nan 0.0100 -0.0000
440 0.8830 nan 0.0100 -0.0000
460 0.8783 nan 0.0100 -0.0000
480 0.8737 nan 0.0100 0.0000
500 0.8697 nan 0.0100 0.0000
520 0.8659 nan 0.0100 0.0000
540 0.8622 nan 0.0100 0.0000
560 0.8588 nan 0.0100 0.0001
580 0.8557 nan 0.0100 0.0000
600 0.8530 nan 0.0100 0.0000
620 0.8501 nan 0.0100 0.0000
640 0.8471 nan 0.0100 0.0000
660 0.8441 nan 0.0100 0.0000
680 0.8414 nan 0.0100 -0.0000
700 0.8385 nan 0.0100 0.0000
720 0.8362 nan 0.0100 -0.0001
740 0.8337 nan 0.0100 -0.0001
760 0.8314 nan 0.0100 -0.0000
780 0.8292 nan 0.0100 -0.0001
800 0.8270 nan 0.0100 -0.0000
820 0.8248 nan 0.0100 -0.0000
840 0.8230 nan 0.0100 -0.0001
860 0.8210 nan 0.0100 0.0000
880 0.8192 nan 0.0100 -0.0000
900 0.8172 nan 0.0100 -0.0000
920 0.8154 nan 0.0100 -0.0000
940 0.8139 nan 0.0100 -0.0001
960 0.8124 nan 0.0100 -0.0000
980 0.8108 nan 0.0100 -0.0001
1000 0.8093 nan 0.0100 0.0000
1020 0.8075 nan 0.0100 0.0000
1040 0.8058 nan 0.0100 0.0000
1060 0.8042 nan 0.0100 -0.0002
1080 0.8030 nan 0.0100 -0.0001
1100 0.8016 nan 0.0100 -0.0000
- Fold06.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3245 nan 0.0100 0.0035
2 1.3175 nan 0.0100 0.0034
3 1.3112 nan 0.0100 0.0032
4 1.3047 nan 0.0100 0.0031
5 1.2981 nan 0.0100 0.0034
6 1.2922 nan 0.0100 0.0033
7 1.2861 nan 0.0100 0.0031
8 1.2799 nan 0.0100 0.0030
9 1.2740 nan 0.0100 0.0029
10 1.2679 nan 0.0100 0.0032
20 1.2149 nan 0.0100 0.0026
40 1.1317 nan 0.0100 0.0016
60 1.0695 nan 0.0100 0.0013
80 1.0223 nan 0.0100 0.0010
100 0.9871 nan 0.0100 0.0008
120 0.9597 nan 0.0100 0.0006
140 0.9376 nan 0.0100 0.0004
160 0.9199 nan 0.0100 0.0001
180 0.9036 nan 0.0100 0.0003
200 0.8893 nan 0.0100 0.0002
220 0.8767 nan 0.0100 0.0002
240 0.8674 nan 0.0100 -0.0000
260 0.8583 nan 0.0100 0.0001
280 0.8506 nan 0.0100 0.0001
300 0.8432 nan 0.0100 0.0001
320 0.8367 nan 0.0100 0.0001
340 0.8294 nan 0.0100 0.0001
360 0.8229 nan 0.0100 0.0000
380 0.8168 nan 0.0100 -0.0001
400 0.8119 nan 0.0100 0.0000
420 0.8077 nan 0.0100 -0.0000
440 0.8038 nan 0.0100 -0.0000
460 0.7992 nan 0.0100 -0.0000
480 0.7946 nan 0.0100 -0.0000
500 0.7906 nan 0.0100 -0.0001
520 0.7865 nan 0.0100 -0.0000
540 0.7832 nan 0.0100 -0.0001
560 0.7800 nan 0.0100 -0.0001
580 0.7764 nan 0.0100 0.0000
600 0.7727 nan 0.0100 0.0000
620 0.7698 nan 0.0100 -0.0002
640 0.7672 nan 0.0100 -0.0000
660 0.7640 nan 0.0100 -0.0001
680 0.7613 nan 0.0100 -0.0001
700 0.7590 nan 0.0100 -0.0001
720 0.7560 nan 0.0100 -0.0000
740 0.7531 nan 0.0100 0.0000
760 0.7509 nan 0.0100 -0.0001
780 0.7485 nan 0.0100 -0.0000
800 0.7457 nan 0.0100 -0.0001
820 0.7432 nan 0.0100 -0.0001
840 0.7407 nan 0.0100 -0.0001
860 0.7381 nan 0.0100 -0.0001
880 0.7359 nan 0.0100 -0.0001
900 0.7339 nan 0.0100 -0.0001
920 0.7319 nan 0.0100 -0.0001
940 0.7299 nan 0.0100 -0.0001
960 0.7271 nan 0.0100 0.0000
980 0.7252 nan 0.0100 -0.0002
1000 0.7234 nan 0.0100 -0.0000
1020 0.7212 nan 0.0100 -0.0001
1040 0.7192 nan 0.0100 -0.0002
1060 0.7172 nan 0.0100 -0.0000
1080 0.7149 nan 0.0100 -0.0001
1100 0.7132 nan 0.0100 -0.0001
- Fold06.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3242 nan 0.0100 0.0033
2 1.3169 nan 0.0100 0.0037
3 1.3095 nan 0.0100 0.0036
4 1.3018 nan 0.0100 0.0037
5 1.2943 nan 0.0100 0.0036
6 1.2872 nan 0.0100 0.0035
7 1.2801 nan 0.0100 0.0035
8 1.2732 nan 0.0100 0.0033
9 1.2663 nan 0.0100 0.0033
10 1.2597 nan 0.0100 0.0033
20 1.1989 nan 0.0100 0.0026
40 1.1064 nan 0.0100 0.0018
60 1.0376 nan 0.0100 0.0013
80 0.9873 nan 0.0100 0.0009
100 0.9491 nan 0.0100 0.0008
120 0.9210 nan 0.0100 0.0003
140 0.8975 nan 0.0100 0.0006
160 0.8778 nan 0.0100 0.0002
180 0.8618 nan 0.0100 0.0001
200 0.8488 nan 0.0100 0.0000
220 0.8367 nan 0.0100 -0.0000
240 0.8256 nan 0.0100 -0.0000
260 0.8159 nan 0.0100 0.0000
280 0.8071 nan 0.0100 0.0001
300 0.7993 nan 0.0100 -0.0001
320 0.7919 nan 0.0100 0.0001
340 0.7849 nan 0.0100 -0.0000
360 0.7783 nan 0.0100 -0.0001
380 0.7720 nan 0.0100 -0.0001
400 0.7663 nan 0.0100 -0.0000
420 0.7610 nan 0.0100 -0.0000
440 0.7558 nan 0.0100 -0.0000
460 0.7513 nan 0.0100 -0.0000
480 0.7462 nan 0.0100 -0.0001
500 0.7417 nan 0.0100 -0.0001
520 0.7374 nan 0.0100 0.0000
540 0.7336 nan 0.0100 -0.0001
560 0.7293 nan 0.0100 0.0000
580 0.7253 nan 0.0100 -0.0001
600 0.7216 nan 0.0100 -0.0001
620 0.7178 nan 0.0100 -0.0000
640 0.7138 nan 0.0100 0.0001
660 0.7099 nan 0.0100 -0.0001
680 0.7065 nan 0.0100 -0.0002
700 0.7026 nan 0.0100 -0.0001
720 0.6994 nan 0.0100 -0.0001
740 0.6964 nan 0.0100 -0.0001
760 0.6933 nan 0.0100 -0.0001
780 0.6903 nan 0.0100 -0.0001
800 0.6872 nan 0.0100 -0.0000
820 0.6845 nan 0.0100 -0.0000
840 0.6813 nan 0.0100 -0.0001
860 0.6789 nan 0.0100 -0.0001
880 0.6762 nan 0.0100 -0.0001
900 0.6738 nan 0.0100 -0.0002
920 0.6709 nan 0.0100 -0.0001
940 0.6684 nan 0.0100 -0.0001
960 0.6657 nan 0.0100 -0.0000
980 0.6635 nan 0.0100 -0.0001
1000 0.6611 nan 0.0100 -0.0001
1020 0.6588 nan 0.0100 -0.0001
1040 0.6565 nan 0.0100 -0.0001
1060 0.6543 nan 0.0100 -0.0002
1080 0.6516 nan 0.0100 -0.0002
1100 0.6490 nan 0.0100 -0.0001
- Fold06.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2800 nan 0.1000 0.0260
2 1.2347 nan 0.1000 0.0213
3 1.2020 nan 0.1000 0.0174
4 1.1721 nan 0.1000 0.0158
5 1.1447 nan 0.1000 0.0111
6 1.1230 nan 0.1000 0.0103
7 1.1066 nan 0.1000 0.0082
8 1.0889 nan 0.1000 0.0076
9 1.0759 nan 0.1000 0.0065
10 1.0623 nan 0.1000 0.0062
20 0.9697 nan 0.1000 0.0033
40 0.8925 nan 0.1000 0.0004
60 0.8534 nan 0.1000 -0.0006
80 0.8270 nan 0.1000 -0.0002
100 0.8095 nan 0.1000 -0.0006
120 0.7954 nan 0.1000 0.0000
140 0.7855 nan 0.1000 -0.0012
160 0.7776 nan 0.1000 -0.0016
180 0.7675 nan 0.1000 -0.0001
200 0.7611 nan 0.1000 -0.0005
220 0.7557 nan 0.1000 -0.0013
240 0.7491 nan 0.1000 -0.0007
260 0.7418 nan 0.1000 -0.0008
280 0.7364 nan 0.1000 -0.0005
300 0.7326 nan 0.1000 -0.0006
320 0.7270 nan 0.1000 -0.0006
340 0.7246 nan 0.1000 -0.0004
360 0.7220 nan 0.1000 -0.0011
380 0.7182 nan 0.1000 -0.0008
400 0.7150 nan 0.1000 -0.0009
420 0.7108 nan 0.1000 -0.0004
440 0.7085 nan 0.1000 -0.0010
460 0.7066 nan 0.1000 -0.0013
480 0.7052 nan 0.1000 -0.0015
500 0.7006 nan 0.1000 -0.0008
520 0.6992 nan 0.1000 -0.0007
540 0.6973 nan 0.1000 -0.0009
560 0.6954 nan 0.1000 -0.0011
580 0.6925 nan 0.1000 -0.0011
600 0.6916 nan 0.1000 -0.0009
620 0.6883 nan 0.1000 -0.0011
640 0.6870 nan 0.1000 -0.0010
660 0.6830 nan 0.1000 -0.0005
680 0.6809 nan 0.1000 -0.0009
700 0.6795 nan 0.1000 -0.0004
720 0.6761 nan 0.1000 -0.0018
740 0.6750 nan 0.1000 -0.0017
760 0.6723 nan 0.1000 -0.0003
780 0.6713 nan 0.1000 -0.0007
800 0.6693 nan 0.1000 -0.0009
820 0.6672 nan 0.1000 -0.0009
840 0.6665 nan 0.1000 -0.0004
860 0.6647 nan 0.1000 -0.0016
880 0.6641 nan 0.1000 -0.0002
900 0.6623 nan 0.1000 -0.0002
920 0.6600 nan 0.1000 -0.0007
940 0.6589 nan 0.1000 -0.0006
960 0.6572 nan 0.1000 -0.0007
980 0.6560 nan 0.1000 -0.0005
1000 0.6546 nan 0.1000 -0.0008
1020 0.6535 nan 0.1000 -0.0007
1040 0.6518 nan 0.1000 -0.0007
1060 0.6517 nan 0.1000 -0.0015
1080 0.6509 nan 0.1000 -0.0003
1100 0.6495 nan 0.1000 -0.0005
- Fold06.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2645 nan 0.1000 0.0335
2 1.2041 nan 0.1000 0.0270
3 1.1587 nan 0.1000 0.0222
4 1.1173 nan 0.1000 0.0192
5 1.0863 nan 0.1000 0.0153
6 1.0561 nan 0.1000 0.0126
7 1.0340 nan 0.1000 0.0105
8 1.0100 nan 0.1000 0.0102
9 0.9927 nan 0.1000 0.0088
10 0.9750 nan 0.1000 0.0070
20 0.8809 nan 0.1000 0.0009
40 0.8135 nan 0.1000 -0.0003
60 0.7726 nan 0.1000 -0.0007
80 0.7483 nan 0.1000 -0.0006
100 0.7277 nan 0.1000 -0.0005
120 0.7077 nan 0.1000 -0.0007
140 0.6913 nan 0.1000 -0.0013
160 0.6744 nan 0.1000 -0.0008
180 0.6590 nan 0.1000 -0.0007
200 0.6449 nan 0.1000 -0.0008
220 0.6313 nan 0.1000 -0.0001
240 0.6189 nan 0.1000 -0.0008
260 0.6125 nan 0.1000 -0.0012
280 0.6031 nan 0.1000 -0.0013
300 0.5937 nan 0.1000 -0.0007
320 0.5846 nan 0.1000 -0.0008
340 0.5755 nan 0.1000 -0.0006
360 0.5694 nan 0.1000 -0.0013
380 0.5628 nan 0.1000 -0.0009
400 0.5552 nan 0.1000 -0.0013
420 0.5466 nan 0.1000 -0.0008
440 0.5372 nan 0.1000 -0.0012
460 0.5318 nan 0.1000 -0.0009
480 0.5262 nan 0.1000 -0.0007
500 0.5217 nan 0.1000 -0.0006
520 0.5158 nan 0.1000 -0.0013
540 0.5090 nan 0.1000 -0.0017
560 0.5043 nan 0.1000 0.0000
580 0.4997 nan 0.1000 -0.0005
600 0.4946 nan 0.1000 -0.0011
620 0.4899 nan 0.1000 -0.0010
640 0.4849 nan 0.1000 -0.0004
660 0.4779 nan 0.1000 -0.0013
680 0.4754 nan 0.1000 -0.0005
700 0.4711 nan 0.1000 -0.0009
720 0.4667 nan 0.1000 -0.0007
740 0.4635 nan 0.1000 -0.0007
760 0.4588 nan 0.1000 -0.0010
780 0.4525 nan 0.1000 -0.0012
800 0.4471 nan 0.1000 -0.0007
820 0.4422 nan 0.1000 -0.0007
840 0.4375 nan 0.1000 -0.0010
860 0.4338 nan 0.1000 -0.0007
880 0.4307 nan 0.1000 -0.0007
900 0.4270 nan 0.1000 -0.0010
920 0.4247 nan 0.1000 -0.0006
940 0.4218 nan 0.1000 -0.0009
960 0.4187 nan 0.1000 -0.0006
980 0.4145 nan 0.1000 -0.0007
1000 0.4103 nan 0.1000 -0.0011
1020 0.4077 nan 0.1000 -0.0005
1040 0.4043 nan 0.1000 -0.0012
1060 0.4008 nan 0.1000 -0.0011
1080 0.3981 nan 0.1000 -0.0007
1100 0.3951 nan 0.1000 -0.0006
- Fold06.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2571 nan 0.1000 0.0348
2 1.1947 nan 0.1000 0.0302
3 1.1399 nan 0.1000 0.0257
4 1.0965 nan 0.1000 0.0204
5 1.0607 nan 0.1000 0.0177
6 1.0301 nan 0.1000 0.0155
7 1.0028 nan 0.1000 0.0121
8 0.9790 nan 0.1000 0.0083
9 0.9626 nan 0.1000 0.0072
10 0.9442 nan 0.1000 0.0070
20 0.8489 nan 0.1000 0.0012
40 0.7715 nan 0.1000 0.0005
60 0.7233 nan 0.1000 -0.0008
80 0.6976 nan 0.1000 -0.0014
100 0.6686 nan 0.1000 -0.0014
120 0.6462 nan 0.1000 -0.0024
140 0.6227 nan 0.1000 -0.0022
160 0.6057 nan 0.1000 -0.0011
180 0.5873 nan 0.1000 -0.0005
200 0.5696 nan 0.1000 -0.0003
220 0.5549 nan 0.1000 -0.0024
240 0.5439 nan 0.1000 -0.0013
260 0.5257 nan 0.1000 -0.0007
280 0.5104 nan 0.1000 -0.0010
300 0.4969 nan 0.1000 -0.0014
320 0.4879 nan 0.1000 -0.0009
340 0.4788 nan 0.1000 -0.0010
360 0.4702 nan 0.1000 -0.0011
380 0.4573 nan 0.1000 -0.0007
400 0.4467 nan 0.1000 -0.0010
420 0.4402 nan 0.1000 -0.0016
440 0.4326 nan 0.1000 -0.0006
460 0.4222 nan 0.1000 0.0002
480 0.4153 nan 0.1000 -0.0015
500 0.4073 nan 0.1000 -0.0013
520 0.4006 nan 0.1000 -0.0005
540 0.3926 nan 0.1000 -0.0006
560 0.3853 nan 0.1000 -0.0008
580 0.3791 nan 0.1000 -0.0018
600 0.3731 nan 0.1000 -0.0013
620 0.3680 nan 0.1000 -0.0009
640 0.3615 nan 0.1000 -0.0010
660 0.3551 nan 0.1000 -0.0007
680 0.3494 nan 0.1000 -0.0008
700 0.3450 nan 0.1000 -0.0006
720 0.3393 nan 0.1000 -0.0008
740 0.3346 nan 0.1000 -0.0010
760 0.3293 nan 0.1000 -0.0007
780 0.3252 nan 0.1000 -0.0012
800 0.3180 nan 0.1000 -0.0004
820 0.3139 nan 0.1000 -0.0009
840 0.3112 nan 0.1000 -0.0009
860 0.3075 nan 0.1000 -0.0006
880 0.3031 nan 0.1000 -0.0009
900 0.2997 nan 0.1000 -0.0006
920 0.2960 nan 0.1000 -0.0004
940 0.2908 nan 0.1000 -0.0010
960 0.2857 nan 0.1000 -0.0007
980 0.2829 nan 0.1000 -0.0009
1000 0.2777 nan 0.1000 -0.0008
1020 0.2735 nan 0.1000 -0.0007
1040 0.2694 nan 0.1000 -0.0004
1060 0.2665 nan 0.1000 -0.0005
1080 0.2629 nan 0.1000 -0.0006
1100 0.2594 nan 0.1000 -0.0007
- Fold06.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3257 nan 0.0100 0.0031
2 1.3194 nan 0.0100 0.0030
3 1.3133 nan 0.0100 0.0029
4 1.3072 nan 0.0100 0.0028
5 1.3015 nan 0.0100 0.0028
6 1.2961 nan 0.0100 0.0028
7 1.2904 nan 0.0100 0.0027
8 1.2847 nan 0.0100 0.0026
9 1.2797 nan 0.0100 0.0026
10 1.2744 nan 0.0100 0.0025
20 1.2277 nan 0.0100 0.0021
40 1.1562 nan 0.0100 0.0014
60 1.1051 nan 0.0100 0.0010
80 1.0677 nan 0.0100 0.0008
100 1.0370 nan 0.0100 0.0006
120 1.0121 nan 0.0100 0.0005
140 0.9914 nan 0.0100 0.0004
160 0.9738 nan 0.0100 0.0002
180 0.9581 nan 0.0100 0.0002
200 0.9451 nan 0.0100 0.0002
220 0.9341 nan 0.0100 0.0003
240 0.9240 nan 0.0100 0.0002
260 0.9149 nan 0.0100 0.0001
280 0.9069 nan 0.0100 0.0002
300 0.8994 nan 0.0100 0.0001
320 0.8928 nan 0.0100 0.0001
340 0.8868 nan 0.0100 0.0001
360 0.8812 nan 0.0100 0.0001
380 0.8763 nan 0.0100 -0.0000
400 0.8711 nan 0.0100 0.0001
420 0.8668 nan 0.0100 -0.0000
440 0.8622 nan 0.0100 0.0000
460 0.8582 nan 0.0100 -0.0000
480 0.8544 nan 0.0100 0.0000
500 0.8503 nan 0.0100 0.0000
520 0.8469 nan 0.0100 0.0000
540 0.8435 nan 0.0100 0.0000
560 0.8399 nan 0.0100 0.0000
580 0.8370 nan 0.0100 -0.0001
600 0.8337 nan 0.0100 -0.0000
620 0.8305 nan 0.0100 0.0000
640 0.8277 nan 0.0100 -0.0000
660 0.8250 nan 0.0100 -0.0000
680 0.8224 nan 0.0100 -0.0001
700 0.8199 nan 0.0100 0.0000
720 0.8177 nan 0.0100 -0.0001
740 0.8154 nan 0.0100 -0.0000
760 0.8132 nan 0.0100 -0.0001
780 0.8112 nan 0.0100 -0.0000
800 0.8090 nan 0.0100 -0.0000
820 0.8071 nan 0.0100 -0.0000
840 0.8051 nan 0.0100 -0.0000
860 0.8031 nan 0.0100 0.0000
880 0.8012 nan 0.0100 -0.0001
900 0.7995 nan 0.0100 -0.0002
920 0.7980 nan 0.0100 -0.0001
940 0.7964 nan 0.0100 -0.0000
960 0.7947 nan 0.0100 -0.0001
980 0.7932 nan 0.0100 -0.0001
1000 0.7917 nan 0.0100 0.0000
1020 0.7904 nan 0.0100 -0.0001
1040 0.7890 nan 0.0100 -0.0000
1060 0.7879 nan 0.0100 -0.0001
1080 0.7867 nan 0.0100 -0.0001
1100 0.7855 nan 0.0100 -0.0001
- Fold07.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3246 nan 0.0100 0.0037
2 1.3171 nan 0.0100 0.0036
3 1.3099 nan 0.0100 0.0035
4 1.3031 nan 0.0100 0.0037
5 1.2966 nan 0.0100 0.0031
6 1.2900 nan 0.0100 0.0034
7 1.2832 nan 0.0100 0.0030
8 1.2769 nan 0.0100 0.0033
9 1.2707 nan 0.0100 0.0027
10 1.2648 nan 0.0100 0.0030
20 1.2084 nan 0.0100 0.0023
40 1.1187 nan 0.0100 0.0018
60 1.0545 nan 0.0100 0.0013
80 1.0043 nan 0.0100 0.0010
100 0.9669 nan 0.0100 0.0007
120 0.9380 nan 0.0100 0.0005
140 0.9153 nan 0.0100 0.0004
160 0.8974 nan 0.0100 0.0004
180 0.8814 nan 0.0100 0.0004
200 0.8673 nan 0.0100 0.0000
220 0.8553 nan 0.0100 0.0001
240 0.8442 nan 0.0100 0.0000
260 0.8355 nan 0.0100 0.0001
280 0.8279 nan 0.0100 -0.0000
300 0.8208 nan 0.0100 0.0001
320 0.8133 nan 0.0100 0.0002
340 0.8074 nan 0.0100 0.0000
360 0.8016 nan 0.0100 0.0001
380 0.7957 nan 0.0100 -0.0000
400 0.7900 nan 0.0100 -0.0000
420 0.7851 nan 0.0100 0.0000
440 0.7799 nan 0.0100 0.0000
460 0.7756 nan 0.0100 0.0000
480 0.7709 nan 0.0100 -0.0001
500 0.7672 nan 0.0100 0.0000
520 0.7630 nan 0.0100 -0.0000
540 0.7597 nan 0.0100 -0.0000
560 0.7566 nan 0.0100 -0.0000
580 0.7530 nan 0.0100 -0.0001
600 0.7498 nan 0.0100 -0.0000
620 0.7473 nan 0.0100 -0.0001
640 0.7446 nan 0.0100 -0.0001
660 0.7414 nan 0.0100 -0.0000
680 0.7386 nan 0.0100 -0.0001
700 0.7355 nan 0.0100 -0.0001
720 0.7331 nan 0.0100 -0.0001
740 0.7307 nan 0.0100 -0.0001
760 0.7283 nan 0.0100 -0.0001
780 0.7261 nan 0.0100 -0.0001
800 0.7235 nan 0.0100 -0.0001
820 0.7214 nan 0.0100 -0.0001
840 0.7192 nan 0.0100 -0.0001
860 0.7171 nan 0.0100 -0.0001
880 0.7151 nan 0.0100 -0.0001
900 0.7128 nan 0.0100 -0.0000
920 0.7106 nan 0.0100 -0.0000
940 0.7084 nan 0.0100 -0.0001
960 0.7063 nan 0.0100 -0.0001
980 0.7044 nan 0.0100 -0.0002
1000 0.7026 nan 0.0100 -0.0001
1020 0.7005 nan 0.0100 -0.0001
1040 0.6984 nan 0.0100 -0.0001
1060 0.6962 nan 0.0100 0.0000
1080 0.6946 nan 0.0100 -0.0000
1100 0.6924 nan 0.0100 -0.0001
- Fold07.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3236 nan 0.0100 0.0040
2 1.3153 nan 0.0100 0.0037
3 1.3074 nan 0.0100 0.0037
4 1.2997 nan 0.0100 0.0038
5 1.2920 nan 0.0100 0.0037
6 1.2843 nan 0.0100 0.0035
7 1.2768 nan 0.0100 0.0034
8 1.2696 nan 0.0100 0.0035
9 1.2623 nan 0.0100 0.0035
10 1.2559 nan 0.0100 0.0033
20 1.1933 nan 0.0100 0.0028
40 1.0975 nan 0.0100 0.0019
60 1.0276 nan 0.0100 0.0013
80 0.9755 nan 0.0100 0.0011
100 0.9348 nan 0.0100 0.0006
120 0.9059 nan 0.0100 0.0006
140 0.8816 nan 0.0100 0.0004
160 0.8621 nan 0.0100 0.0002
180 0.8454 nan 0.0100 0.0003
200 0.8322 nan 0.0100 0.0002
220 0.8198 nan 0.0100 0.0001
240 0.8092 nan 0.0100 0.0001
260 0.7993 nan 0.0100 -0.0000
280 0.7908 nan 0.0100 -0.0001
300 0.7821 nan 0.0100 -0.0001
320 0.7749 nan 0.0100 -0.0000
340 0.7685 nan 0.0100 -0.0001
360 0.7623 nan 0.0100 0.0001
380 0.7566 nan 0.0100 -0.0001
400 0.7502 nan 0.0100 -0.0000
420 0.7450 nan 0.0100 -0.0001
440 0.7403 nan 0.0100 -0.0000
460 0.7356 nan 0.0100 -0.0002
480 0.7311 nan 0.0100 -0.0000
500 0.7269 nan 0.0100 -0.0002
520 0.7217 nan 0.0100 0.0000
540 0.7170 nan 0.0100 -0.0001
560 0.7131 nan 0.0100 -0.0001
580 0.7090 nan 0.0100 -0.0000
600 0.7056 nan 0.0100 -0.0000
620 0.7016 nan 0.0100 -0.0002
640 0.6980 nan 0.0100 -0.0002
660 0.6944 nan 0.0100 0.0000
680 0.6914 nan 0.0100 -0.0001
700 0.6876 nan 0.0100 -0.0002
720 0.6840 nan 0.0100 0.0000
740 0.6809 nan 0.0100 -0.0000
760 0.6771 nan 0.0100 0.0000
780 0.6741 nan 0.0100 -0.0001
800 0.6708 nan 0.0100 -0.0001
820 0.6675 nan 0.0100 -0.0001
840 0.6647 nan 0.0100 -0.0003
860 0.6618 nan 0.0100 -0.0001
880 0.6593 nan 0.0100 -0.0001
900 0.6566 nan 0.0100 -0.0001
920 0.6543 nan 0.0100 -0.0001
940 0.6520 nan 0.0100 -0.0001
960 0.6494 nan 0.0100 -0.0001
980 0.6468 nan 0.0100 -0.0001
1000 0.6442 nan 0.0100 -0.0001
1020 0.6420 nan 0.0100 -0.0001
1040 0.6400 nan 0.0100 -0.0002
1060 0.6377 nan 0.0100 -0.0002
1080 0.6353 nan 0.0100 -0.0001
1100 0.6330 nan 0.0100 -0.0002
- Fold07.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2737 nan 0.1000 0.0288
2 1.2198 nan 0.1000 0.0241
3 1.1821 nan 0.1000 0.0190
4 1.1486 nan 0.1000 0.0151
5 1.1284 nan 0.1000 0.0071
6 1.1023 nan 0.1000 0.0125
7 1.0794 nan 0.1000 0.0103
8 1.0637 nan 0.1000 0.0058
9 1.0460 nan 0.1000 0.0082
10 1.0317 nan 0.1000 0.0065
20 0.9422 nan 0.1000 0.0011
40 0.8722 nan 0.1000 0.0008
60 0.8345 nan 0.1000 -0.0009
80 0.8093 nan 0.1000 0.0002
100 0.7931 nan 0.1000 -0.0006
120 0.7804 nan 0.1000 -0.0006
140 0.7695 nan 0.1000 -0.0004
160 0.7615 nan 0.1000 -0.0004
180 0.7540 nan 0.1000 -0.0007
200 0.7487 nan 0.1000 -0.0004
220 0.7418 nan 0.1000 -0.0004
240 0.7387 nan 0.1000 -0.0007
260 0.7339 nan 0.1000 -0.0005
280 0.7281 nan 0.1000 -0.0009
300 0.7225 nan 0.1000 -0.0005
320 0.7182 nan 0.1000 -0.0011
340 0.7144 nan 0.1000 -0.0005
360 0.7106 nan 0.1000 -0.0008
380 0.7060 nan 0.1000 -0.0005
400 0.7027 nan 0.1000 -0.0006
420 0.6991 nan 0.1000 -0.0002
440 0.6978 nan 0.1000 -0.0001
460 0.6963 nan 0.1000 -0.0004
480 0.6932 nan 0.1000 -0.0011
500 0.6915 nan 0.1000 -0.0004
520 0.6885 nan 0.1000 -0.0013
540 0.6862 nan 0.1000 -0.0008
560 0.6848 nan 0.1000 -0.0007
580 0.6828 nan 0.1000 -0.0008
600 0.6805 nan 0.1000 -0.0006
620 0.6791 nan 0.1000 -0.0009
640 0.6770 nan 0.1000 -0.0005
660 0.6747 nan 0.1000 -0.0004
680 0.6724 nan 0.1000 -0.0006
700 0.6709 nan 0.1000 -0.0007
720 0.6688 nan 0.1000 -0.0012
740 0.6677 nan 0.1000 -0.0002
760 0.6654 nan 0.1000 -0.0003
780 0.6635 nan 0.1000 -0.0007
800 0.6605 nan 0.1000 -0.0010
820 0.6580 nan 0.1000 -0.0009
840 0.6566 nan 0.1000 -0.0012
860 0.6556 nan 0.1000 -0.0007
880 0.6548 nan 0.1000 -0.0008
900 0.6535 nan 0.1000 -0.0014
920 0.6519 nan 0.1000 -0.0005
940 0.6512 nan 0.1000 -0.0004
960 0.6489 nan 0.1000 -0.0007
980 0.6490 nan 0.1000 -0.0008
1000 0.6462 nan 0.1000 -0.0009
1020 0.6447 nan 0.1000 -0.0004
1040 0.6423 nan 0.1000 -0.0009
1060 0.6415 nan 0.1000 -0.0010
1080 0.6404 nan 0.1000 -0.0006
1100 0.6395 nan 0.1000 -0.0007
- Fold07.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2600 nan 0.1000 0.0317
2 1.2054 nan 0.1000 0.0262
3 1.1511 nan 0.1000 0.0230
4 1.1099 nan 0.1000 0.0205
5 1.0752 nan 0.1000 0.0163
6 1.0420 nan 0.1000 0.0138
7 1.0182 nan 0.1000 0.0119
8 0.9941 nan 0.1000 0.0105
9 0.9734 nan 0.1000 0.0090
10 0.9583 nan 0.1000 0.0066
20 0.8607 nan 0.1000 0.0035
40 0.7915 nan 0.1000 -0.0004
60 0.7548 nan 0.1000 0.0001
80 0.7297 nan 0.1000 0.0003
100 0.7121 nan 0.1000 -0.0016
120 0.6922 nan 0.1000 -0.0003
140 0.6756 nan 0.1000 -0.0013
160 0.6624 nan 0.1000 -0.0013
180 0.6482 nan 0.1000 -0.0004
200 0.6368 nan 0.1000 -0.0017
220 0.6279 nan 0.1000 0.0001
240 0.6178 nan 0.1000 -0.0008
260 0.6071 nan 0.1000 -0.0014
280 0.5988 nan 0.1000 -0.0007
300 0.5908 nan 0.1000 -0.0012
320 0.5847 nan 0.1000 -0.0004
340 0.5754 nan 0.1000 -0.0015
360 0.5667 nan 0.1000 -0.0007
380 0.5590 nan 0.1000 -0.0013
400 0.5505 nan 0.1000 -0.0011
420 0.5418 nan 0.1000 -0.0008
440 0.5374 nan 0.1000 -0.0005
460 0.5299 nan 0.1000 -0.0008
480 0.5227 nan 0.1000 -0.0015
500 0.5147 nan 0.1000 -0.0006
520 0.5092 nan 0.1000 -0.0010
540 0.5016 nan 0.1000 -0.0005
560 0.4985 nan 0.1000 -0.0005
580 0.4948 nan 0.1000 -0.0012
600 0.4883 nan 0.1000 -0.0012
620 0.4836 nan 0.1000 -0.0014
640 0.4777 nan 0.1000 -0.0011
660 0.4724 nan 0.1000 -0.0007
680 0.4686 nan 0.1000 -0.0006
700 0.4629 nan 0.1000 -0.0013
720 0.4580 nan 0.1000 -0.0010
740 0.4536 nan 0.1000 -0.0003
760 0.4492 nan 0.1000 -0.0010
780 0.4433 nan 0.1000 -0.0011
800 0.4404 nan 0.1000 -0.0005
820 0.4389 nan 0.1000 -0.0008
840 0.4341 nan 0.1000 -0.0006
860 0.4306 nan 0.1000 -0.0015
880 0.4270 nan 0.1000 -0.0011
900 0.4233 nan 0.1000 -0.0006
920 0.4202 nan 0.1000 -0.0010
940 0.4164 nan 0.1000 -0.0005
960 0.4144 nan 0.1000 -0.0002
980 0.4108 nan 0.1000 -0.0007
1000 0.4056 nan 0.1000 -0.0004
1020 0.4040 nan 0.1000 -0.0012
1040 0.4007 nan 0.1000 -0.0007
1060 0.3968 nan 0.1000 -0.0008
1080 0.3921 nan 0.1000 -0.0005
1100 0.3899 nan 0.1000 -0.0012
- Fold07.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2533 nan 0.1000 0.0399
2 1.1873 nan 0.1000 0.0311
3 1.1341 nan 0.1000 0.0262
4 1.0899 nan 0.1000 0.0212
5 1.0528 nan 0.1000 0.0190
6 1.0205 nan 0.1000 0.0161
7 0.9912 nan 0.1000 0.0115
8 0.9639 nan 0.1000 0.0111
9 0.9439 nan 0.1000 0.0105
10 0.9261 nan 0.1000 0.0083
20 0.8299 nan 0.1000 0.0022
40 0.7499 nan 0.1000 -0.0012
60 0.7099 nan 0.1000 -0.0027
80 0.6750 nan 0.1000 -0.0013
100 0.6495 nan 0.1000 -0.0007
120 0.6281 nan 0.1000 -0.0013
140 0.6093 nan 0.1000 -0.0017
160 0.5932 nan 0.1000 -0.0010
180 0.5754 nan 0.1000 -0.0019
200 0.5602 nan 0.1000 -0.0014
220 0.5486 nan 0.1000 -0.0012
240 0.5328 nan 0.1000 -0.0017
260 0.5201 nan 0.1000 -0.0004
280 0.5082 nan 0.1000 -0.0027
300 0.4939 nan 0.1000 -0.0016
320 0.4842 nan 0.1000 -0.0011
340 0.4745 nan 0.1000 -0.0009
360 0.4650 nan 0.1000 -0.0005
380 0.4546 nan 0.1000 -0.0012
400 0.4450 nan 0.1000 -0.0013
420 0.4342 nan 0.1000 -0.0018
440 0.4251 nan 0.1000 -0.0004
460 0.4176 nan 0.1000 -0.0023
480 0.4113 nan 0.1000 -0.0009
500 0.4068 nan 0.1000 -0.0007
520 0.3999 nan 0.1000 -0.0014
540 0.3939 nan 0.1000 -0.0003
560 0.3868 nan 0.1000 -0.0009
580 0.3791 nan 0.1000 -0.0012
600 0.3730 nan 0.1000 -0.0014
620 0.3666 nan 0.1000 -0.0007
640 0.3592 nan 0.1000 -0.0008
660 0.3514 nan 0.1000 -0.0006
680 0.3468 nan 0.1000 -0.0010
700 0.3418 nan 0.1000 -0.0003
720 0.3349 nan 0.1000 -0.0008
740 0.3282 nan 0.1000 -0.0009
760 0.3253 nan 0.1000 -0.0011
780 0.3187 nan 0.1000 -0.0009
800 0.3145 nan 0.1000 -0.0005
820 0.3104 nan 0.1000 -0.0006
840 0.3077 nan 0.1000 -0.0007
860 0.3032 nan 0.1000 -0.0005
880 0.2979 nan 0.1000 -0.0007
900 0.2937 nan 0.1000 -0.0010
920 0.2899 nan 0.1000 -0.0004
940 0.2861 nan 0.1000 -0.0009
960 0.2824 nan 0.1000 -0.0008
980 0.2803 nan 0.1000 -0.0005
1000 0.2776 nan 0.1000 -0.0008
1020 0.2753 nan 0.1000 -0.0010
1040 0.2711 nan 0.1000 -0.0006
1060 0.2676 nan 0.1000 -0.0007
1080 0.2643 nan 0.1000 -0.0006
1100 0.2599 nan 0.1000 -0.0010
- Fold07.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3261 nan 0.0100 0.0028
2 1.3202 nan 0.0100 0.0029
3 1.3143 nan 0.0100 0.0028
4 1.3090 nan 0.0100 0.0026
5 1.3033 nan 0.0100 0.0027
6 1.2979 nan 0.0100 0.0026
7 1.2922 nan 0.0100 0.0024
8 1.2869 nan 0.0100 0.0026
9 1.2817 nan 0.0100 0.0025
10 1.2768 nan 0.0100 0.0023
20 1.2337 nan 0.0100 0.0019
40 1.1675 nan 0.0100 0.0013
60 1.1231 nan 0.0100 0.0008
80 1.0876 nan 0.0100 0.0007
100 1.0580 nan 0.0100 0.0004
120 1.0341 nan 0.0100 0.0005
140 1.0132 nan 0.0100 0.0004
160 0.9957 nan 0.0100 0.0003
180 0.9811 nan 0.0100 0.0002
200 0.9679 nan 0.0100 0.0001
220 0.9556 nan 0.0100 0.0001
240 0.9447 nan 0.0100 0.0002
260 0.9356 nan 0.0100 0.0001
280 0.9270 nan 0.0100 0.0002
300 0.9188 nan 0.0100 0.0001
320 0.9113 nan 0.0100 0.0001
340 0.9044 nan 0.0100 0.0001
360 0.8979 nan 0.0100 0.0001
380 0.8916 nan 0.0100 0.0001
400 0.8860 nan 0.0100 0.0001
420 0.8808 nan 0.0100 0.0000
440 0.8758 nan 0.0100 0.0001
460 0.8710 nan 0.0100 0.0000
480 0.8668 nan 0.0100 -0.0001
500 0.8629 nan 0.0100 0.0000
520 0.8586 nan 0.0100 0.0000
540 0.8550 nan 0.0100 0.0000
560 0.8513 nan 0.0100 0.0000
580 0.8477 nan 0.0100 0.0000
600 0.8442 nan 0.0100 0.0001
620 0.8409 nan 0.0100 -0.0000
640 0.8377 nan 0.0100 0.0000
660 0.8347 nan 0.0100 -0.0000
680 0.8320 nan 0.0100 0.0000
700 0.8291 nan 0.0100 0.0000
720 0.8263 nan 0.0100 0.0000
740 0.8237 nan 0.0100 -0.0000
760 0.8212 nan 0.0100 0.0000
780 0.8187 nan 0.0100 0.0000
800 0.8164 nan 0.0100 -0.0000
820 0.8142 nan 0.0100 -0.0001
840 0.8119 nan 0.0100 0.0000
860 0.8097 nan 0.0100 -0.0001
880 0.8075 nan 0.0100 -0.0000
900 0.8055 nan 0.0100 -0.0000
920 0.8038 nan 0.0100 -0.0000
940 0.8018 nan 0.0100 -0.0001
960 0.8001 nan 0.0100 0.0000
980 0.7987 nan 0.0100 -0.0000
1000 0.7967 nan 0.0100 -0.0001
1020 0.7952 nan 0.0100 -0.0001
1040 0.7936 nan 0.0100 -0.0000
1060 0.7918 nan 0.0100 -0.0000
1080 0.7903 nan 0.0100 -0.0001
1100 0.7889 nan 0.0100 0.0000
- Fold08.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3245 nan 0.0100 0.0038
2 1.3176 nan 0.0100 0.0036
3 1.3112 nan 0.0100 0.0030
4 1.3046 nan 0.0100 0.0033
5 1.2979 nan 0.0100 0.0033
6 1.2918 nan 0.0100 0.0034
7 1.2853 nan 0.0100 0.0031
8 1.2787 nan 0.0100 0.0032
9 1.2727 nan 0.0100 0.0031
10 1.2666 nan 0.0100 0.0028
20 1.2105 nan 0.0100 0.0025
40 1.1263 nan 0.0100 0.0017
60 1.0630 nan 0.0100 0.0012
80 1.0159 nan 0.0100 0.0009
100 0.9793 nan 0.0100 0.0006
120 0.9500 nan 0.0100 0.0004
140 0.9269 nan 0.0100 0.0003
160 0.9075 nan 0.0100 0.0001
180 0.8913 nan 0.0100 0.0004
200 0.8777 nan 0.0100 0.0003
220 0.8658 nan 0.0100 0.0001
240 0.8556 nan 0.0100 0.0001
260 0.8461 nan 0.0100 0.0000
280 0.8371 nan 0.0100 0.0001
300 0.8288 nan 0.0100 0.0001
320 0.8220 nan 0.0100 0.0001
340 0.8146 nan 0.0100 0.0000
360 0.8083 nan 0.0100 -0.0000
380 0.8024 nan 0.0100 -0.0000
400 0.7969 nan 0.0100 -0.0001
420 0.7921 nan 0.0100 -0.0001
440 0.7876 nan 0.0100 -0.0001
460 0.7830 nan 0.0100 -0.0001
480 0.7784 nan 0.0100 -0.0001
500 0.7744 nan 0.0100 -0.0000
520 0.7705 nan 0.0100 -0.0000
540 0.7670 nan 0.0100 -0.0001
560 0.7634 nan 0.0100 0.0001
580 0.7600 nan 0.0100 -0.0001
600 0.7567 nan 0.0100 -0.0001
620 0.7540 nan 0.0100 -0.0000
640 0.7508 nan 0.0100 -0.0001
660 0.7479 nan 0.0100 -0.0001
680 0.7450 nan 0.0100 -0.0001
700 0.7419 nan 0.0100 -0.0001
720 0.7394 nan 0.0100 -0.0000
740 0.7370 nan 0.0100 -0.0000
760 0.7344 nan 0.0100 -0.0001
780 0.7319 nan 0.0100 -0.0001
800 0.7295 nan 0.0100 0.0000
820 0.7273 nan 0.0100 -0.0001
840 0.7252 nan 0.0100 -0.0001
860 0.7225 nan 0.0100 -0.0000
880 0.7203 nan 0.0100 0.0000
900 0.7180 nan 0.0100 -0.0000
920 0.7159 nan 0.0100 -0.0000
940 0.7141 nan 0.0100 -0.0000
960 0.7117 nan 0.0100 -0.0001
980 0.7095 nan 0.0100 -0.0001
1000 0.7077 nan 0.0100 -0.0002
1020 0.7052 nan 0.0100 -0.0001
1040 0.7036 nan 0.0100 -0.0000
1060 0.7016 nan 0.0100 -0.0001
1080 0.6995 nan 0.0100 -0.0001
1100 0.6980 nan 0.0100 -0.0001
- Fold08.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3242 nan 0.0100 0.0041
2 1.3171 nan 0.0100 0.0036
3 1.3095 nan 0.0100 0.0035
4 1.3023 nan 0.0100 0.0037
5 1.2950 nan 0.0100 0.0036
6 1.2880 nan 0.0100 0.0036
7 1.2807 nan 0.0100 0.0037
8 1.2734 nan 0.0100 0.0034
9 1.2667 nan 0.0100 0.0033
10 1.2601 nan 0.0100 0.0032
20 1.1998 nan 0.0100 0.0027
40 1.1038 nan 0.0100 0.0019
60 1.0342 nan 0.0100 0.0014
80 0.9829 nan 0.0100 0.0010
100 0.9436 nan 0.0100 0.0004
120 0.9127 nan 0.0100 0.0006
140 0.8877 nan 0.0100 0.0003
160 0.8672 nan 0.0100 0.0002
180 0.8510 nan 0.0100 0.0001
200 0.8362 nan 0.0100 0.0003
220 0.8236 nan 0.0100 0.0001
240 0.8131 nan 0.0100 0.0000
260 0.8027 nan 0.0100 0.0001
280 0.7939 nan 0.0100 0.0000
300 0.7860 nan 0.0100 0.0000
320 0.7784 nan 0.0100 -0.0001
340 0.7718 nan 0.0100 -0.0000
360 0.7651 nan 0.0100 -0.0001
380 0.7588 nan 0.0100 -0.0001
400 0.7531 nan 0.0100 -0.0000
420 0.7483 nan 0.0100 -0.0001
440 0.7435 nan 0.0100 -0.0000
460 0.7386 nan 0.0100 -0.0000
480 0.7340 nan 0.0100 0.0000
500 0.7296 nan 0.0100 -0.0001
520 0.7250 nan 0.0100 -0.0001
540 0.7204 nan 0.0100 -0.0001
560 0.7168 nan 0.0100 -0.0001
580 0.7130 nan 0.0100 -0.0001
600 0.7093 nan 0.0100 -0.0001
620 0.7060 nan 0.0100 -0.0001
640 0.7024 nan 0.0100 -0.0001
660 0.6991 nan 0.0100 -0.0002
680 0.6957 nan 0.0100 -0.0001
700 0.6925 nan 0.0100 -0.0000
720 0.6891 nan 0.0100 -0.0001
740 0.6863 nan 0.0100 -0.0001
760 0.6835 nan 0.0100 -0.0000
780 0.6809 nan 0.0100 -0.0002
800 0.6778 nan 0.0100 -0.0001
820 0.6754 nan 0.0100 0.0000
840 0.6726 nan 0.0100 -0.0002
860 0.6690 nan 0.0100 0.0001
880 0.6658 nan 0.0100 -0.0001
900 0.6631 nan 0.0100 -0.0001
920 0.6603 nan 0.0100 -0.0001
940 0.6575 nan 0.0100 -0.0001
960 0.6549 nan 0.0100 0.0000
980 0.6524 nan 0.0100 -0.0001
1000 0.6499 nan 0.0100 -0.0000
1020 0.6474 nan 0.0100 -0.0000
1040 0.6447 nan 0.0100 -0.0001
1060 0.6421 nan 0.0100 -0.0001
1080 0.6398 nan 0.0100 -0.0001
1100 0.6374 nan 0.0100 -0.0000
- Fold08.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2773 nan 0.1000 0.0273
2 1.2345 nan 0.1000 0.0218
3 1.1992 nan 0.1000 0.0186
4 1.1681 nan 0.1000 0.0154
5 1.1422 nan 0.1000 0.0125
6 1.1218 nan 0.1000 0.0102
7 1.1047 nan 0.1000 0.0089
8 1.0877 nan 0.1000 0.0068
9 1.0713 nan 0.1000 0.0058
10 1.0574 nan 0.1000 0.0070
20 0.9649 nan 0.1000 0.0024
40 0.8851 nan 0.1000 0.0001
60 0.8429 nan 0.1000 0.0001
80 0.8170 nan 0.1000 -0.0002
100 0.7989 nan 0.1000 -0.0001
120 0.7866 nan 0.1000 -0.0005
140 0.7745 nan 0.1000 -0.0003
160 0.7635 nan 0.1000 -0.0007
180 0.7559 nan 0.1000 -0.0012
200 0.7491 nan 0.1000 -0.0009
220 0.7415 nan 0.1000 -0.0003
240 0.7356 nan 0.1000 -0.0005
260 0.7301 nan 0.1000 -0.0004
280 0.7246 nan 0.1000 -0.0010
300 0.7207 nan 0.1000 -0.0001
320 0.7176 nan 0.1000 -0.0005
340 0.7124 nan 0.1000 -0.0012
360 0.7083 nan 0.1000 -0.0003
380 0.7053 nan 0.1000 -0.0001
400 0.7021 nan 0.1000 -0.0007
420 0.6982 nan 0.1000 -0.0004
440 0.6956 nan 0.1000 -0.0011
460 0.6928 nan 0.1000 -0.0007
480 0.6902 nan 0.1000 -0.0005
500 0.6884 nan 0.1000 -0.0010
520 0.6835 nan 0.1000 -0.0008
540 0.6814 nan 0.1000 -0.0003
560 0.6800 nan 0.1000 -0.0007
580 0.6786 nan 0.1000 -0.0008
600 0.6760 nan 0.1000 -0.0008
620 0.6740 nan 0.1000 -0.0005
640 0.6729 nan 0.1000 -0.0004
660 0.6695 nan 0.1000 -0.0008
680 0.6680 nan 0.1000 -0.0003
700 0.6653 nan 0.1000 -0.0006
720 0.6635 nan 0.1000 -0.0010
740 0.6624 nan 0.1000 -0.0005
760 0.6598 nan 0.1000 -0.0003
780 0.6569 nan 0.1000 -0.0006
800 0.6563 nan 0.1000 -0.0003
820 0.6549 nan 0.1000 -0.0009
840 0.6545 nan 0.1000 -0.0015
860 0.6521 nan 0.1000 -0.0005
880 0.6519 nan 0.1000 -0.0019
900 0.6508 nan 0.1000 -0.0007
920 0.6493 nan 0.1000 -0.0005
940 0.6487 nan 0.1000 -0.0010
960 0.6469 nan 0.1000 -0.0008
980 0.6461 nan 0.1000 -0.0012
1000 0.6453 nan 0.1000 -0.0022
1020 0.6440 nan 0.1000 -0.0009
1040 0.6420 nan 0.1000 -0.0008
1060 0.6412 nan 0.1000 -0.0016
1080 0.6402 nan 0.1000 -0.0009
1100 0.6382 nan 0.1000 -0.0004
- Fold08.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2620 nan 0.1000 0.0341
2 1.2027 nan 0.1000 0.0269
3 1.1514 nan 0.1000 0.0233
4 1.1143 nan 0.1000 0.0188
5 1.0821 nan 0.1000 0.0135
6 1.0526 nan 0.1000 0.0131
7 1.0313 nan 0.1000 0.0110
8 1.0120 nan 0.1000 0.0086
9 0.9944 nan 0.1000 0.0099
10 0.9776 nan 0.1000 0.0071
20 0.8799 nan 0.1000 0.0017
40 0.7960 nan 0.1000 -0.0005
60 0.7558 nan 0.1000 -0.0001
80 0.7276 nan 0.1000 0.0002
100 0.7070 nan 0.1000 -0.0006
120 0.6902 nan 0.1000 -0.0008
140 0.6730 nan 0.1000 -0.0009
160 0.6584 nan 0.1000 -0.0015
180 0.6458 nan 0.1000 -0.0009
200 0.6336 nan 0.1000 -0.0017
220 0.6246 nan 0.1000 -0.0013
240 0.6129 nan 0.1000 -0.0009
260 0.6059 nan 0.1000 -0.0013
280 0.5977 nan 0.1000 -0.0016
300 0.5888 nan 0.1000 -0.0014
320 0.5810 nan 0.1000 -0.0016
340 0.5698 nan 0.1000 -0.0015
360 0.5610 nan 0.1000 -0.0010
380 0.5527 nan 0.1000 -0.0012
400 0.5458 nan 0.1000 -0.0011
420 0.5392 nan 0.1000 -0.0009
440 0.5331 nan 0.1000 -0.0010
460 0.5280 nan 0.1000 -0.0008
480 0.5237 nan 0.1000 -0.0001
500 0.5182 nan 0.1000 -0.0008
520 0.5116 nan 0.1000 -0.0001
540 0.5082 nan 0.1000 -0.0004
560 0.5033 nan 0.1000 -0.0008
580 0.4966 nan 0.1000 -0.0006
600 0.4912 nan 0.1000 -0.0009
620 0.4849 nan 0.1000 -0.0017
640 0.4792 nan 0.1000 -0.0010
660 0.4755 nan 0.1000 -0.0003
680 0.4722 nan 0.1000 -0.0009
700 0.4666 nan 0.1000 -0.0014
720 0.4617 nan 0.1000 -0.0008
740 0.4576 nan 0.1000 -0.0006
760 0.4529 nan 0.1000 -0.0005
780 0.4514 nan 0.1000 -0.0007
800 0.4483 nan 0.1000 -0.0012
820 0.4437 nan 0.1000 -0.0006
840 0.4389 nan 0.1000 -0.0004
860 0.4357 nan 0.1000 -0.0008
880 0.4316 nan 0.1000 -0.0006
900 0.4274 nan 0.1000 -0.0005
920 0.4249 nan 0.1000 -0.0010
940 0.4219 nan 0.1000 -0.0011
960 0.4181 nan 0.1000 -0.0006
980 0.4151 nan 0.1000 -0.0006
1000 0.4113 nan 0.1000 -0.0007
1020 0.4081 nan 0.1000 -0.0005
1040 0.4037 nan 0.1000 -0.0014
1060 0.4017 nan 0.1000 -0.0005
1080 0.3996 nan 0.1000 -0.0008
1100 0.3958 nan 0.1000 -0.0009
- Fold08.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2554 nan 0.1000 0.0386
2 1.1970 nan 0.1000 0.0298
3 1.1458 nan 0.1000 0.0266
4 1.1021 nan 0.1000 0.0177
5 1.0658 nan 0.1000 0.0141
6 1.0341 nan 0.1000 0.0152
7 1.0050 nan 0.1000 0.0136
8 0.9807 nan 0.1000 0.0123
9 0.9590 nan 0.1000 0.0092
10 0.9436 nan 0.1000 0.0057
20 0.8376 nan 0.1000 0.0013
40 0.7585 nan 0.1000 -0.0013
60 0.7137 nan 0.1000 -0.0005
80 0.6821 nan 0.1000 -0.0018
100 0.6536 nan 0.1000 -0.0009
120 0.6297 nan 0.1000 -0.0008
140 0.6083 nan 0.1000 -0.0014
160 0.5874 nan 0.1000 -0.0022
180 0.5709 nan 0.1000 -0.0017
200 0.5570 nan 0.1000 -0.0023
220 0.5408 nan 0.1000 -0.0020
240 0.5279 nan 0.1000 -0.0007
260 0.5133 nan 0.1000 -0.0008
280 0.5007 nan 0.1000 -0.0012
300 0.4930 nan 0.1000 -0.0018
320 0.4826 nan 0.1000 -0.0012
340 0.4738 nan 0.1000 -0.0013
360 0.4659 nan 0.1000 -0.0008
380 0.4539 nan 0.1000 -0.0013
400 0.4453 nan 0.1000 -0.0010
420 0.4366 nan 0.1000 -0.0010
440 0.4280 nan 0.1000 -0.0009
460 0.4203 nan 0.1000 -0.0008
480 0.4122 nan 0.1000 -0.0003
500 0.4072 nan 0.1000 -0.0010
520 0.4024 nan 0.1000 -0.0008
540 0.3970 nan 0.1000 -0.0009
560 0.3902 nan 0.1000 -0.0003
580 0.3843 nan 0.1000 -0.0015
600 0.3774 nan 0.1000 -0.0014
620 0.3705 nan 0.1000 -0.0013
640 0.3650 nan 0.1000 -0.0017
660 0.3603 nan 0.1000 -0.0009
680 0.3546 nan 0.1000 -0.0008
700 0.3483 nan 0.1000 -0.0011
720 0.3435 nan 0.1000 -0.0007
740 0.3379 nan 0.1000 -0.0004
760 0.3335 nan 0.1000 -0.0011
780 0.3257 nan 0.1000 -0.0009
800 0.3230 nan 0.1000 -0.0011
820 0.3182 nan 0.1000 -0.0008
840 0.3134 nan 0.1000 -0.0010
860 0.3094 nan 0.1000 -0.0011
880 0.3058 nan 0.1000 -0.0008
900 0.3010 nan 0.1000 -0.0009
920 0.2967 nan 0.1000 -0.0004
940 0.2941 nan 0.1000 -0.0010
960 0.2906 nan 0.1000 -0.0009
980 0.2865 nan 0.1000 -0.0009
1000 0.2820 nan 0.1000 -0.0006
1020 0.2793 nan 0.1000 -0.0013
1040 0.2756 nan 0.1000 -0.0008
1060 0.2722 nan 0.1000 -0.0010
1080 0.2705 nan 0.1000 -0.0013
1100 0.2664 nan 0.1000 -0.0010
- Fold08.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3259 nan 0.0100 0.0031
2 1.3198 nan 0.0100 0.0029
3 1.3146 nan 0.0100 0.0029
4 1.3085 nan 0.0100 0.0029
5 1.3028 nan 0.0100 0.0027
6 1.2978 nan 0.0100 0.0028
7 1.2922 nan 0.0100 0.0026
8 1.2868 nan 0.0100 0.0027
9 1.2817 nan 0.0100 0.0025
10 1.2759 nan 0.0100 0.0026
20 1.2284 nan 0.0100 0.0020
40 1.1555 nan 0.0100 0.0014
60 1.1058 nan 0.0100 0.0010
80 1.0680 nan 0.0100 0.0008
100 1.0371 nan 0.0100 0.0006
120 1.0114 nan 0.0100 0.0005
140 0.9893 nan 0.0100 0.0004
160 0.9708 nan 0.0100 0.0003
180 0.9556 nan 0.0100 0.0003
200 0.9414 nan 0.0100 0.0003
220 0.9296 nan 0.0100 0.0001
240 0.9187 nan 0.0100 0.0002
260 0.9089 nan 0.0100 0.0001
280 0.8995 nan 0.0100 0.0001
300 0.8915 nan 0.0100 0.0001
320 0.8839 nan 0.0100 0.0001
340 0.8779 nan 0.0100 0.0001
360 0.8718 nan 0.0100 0.0001
380 0.8653 nan 0.0100 0.0001
400 0.8600 nan 0.0100 0.0001
420 0.8553 nan 0.0100 0.0001
440 0.8502 nan 0.0100 0.0001
460 0.8460 nan 0.0100 0.0001
480 0.8419 nan 0.0100 -0.0000
500 0.8384 nan 0.0100 0.0000
520 0.8349 nan 0.0100 -0.0000
540 0.8316 nan 0.0100 0.0001
560 0.8281 nan 0.0100 0.0000
580 0.8250 nan 0.0100 -0.0001
600 0.8220 nan 0.0100 -0.0000
620 0.8188 nan 0.0100 -0.0000
640 0.8163 nan 0.0100 0.0000
660 0.8136 nan 0.0100 0.0000
680 0.8110 nan 0.0100 -0.0000
700 0.8087 nan 0.0100 0.0000
720 0.8063 nan 0.0100 -0.0000
740 0.8038 nan 0.0100 -0.0001
760 0.8015 nan 0.0100 -0.0000
780 0.7991 nan 0.0100 0.0000
800 0.7970 nan 0.0100 0.0000
820 0.7948 nan 0.0100 -0.0000
840 0.7926 nan 0.0100 0.0000
860 0.7907 nan 0.0100 -0.0001
880 0.7888 nan 0.0100 -0.0001
900 0.7871 nan 0.0100 -0.0000
920 0.7852 nan 0.0100 -0.0001
940 0.7835 nan 0.0100 0.0000
960 0.7821 nan 0.0100 -0.0001
980 0.7804 nan 0.0100 -0.0000
1000 0.7786 nan 0.0100 -0.0000
1020 0.7769 nan 0.0100 -0.0001
1040 0.7752 nan 0.0100 -0.0001
1060 0.7738 nan 0.0100 -0.0001
1080 0.7724 nan 0.0100 0.0000
1100 0.7713 nan 0.0100 -0.0000
- Fold09.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3247 nan 0.0100 0.0037
2 1.3170 nan 0.0100 0.0037
3 1.3093 nan 0.0100 0.0037
4 1.3022 nan 0.0100 0.0033
5 1.2952 nan 0.0100 0.0035
6 1.2884 nan 0.0100 0.0032
7 1.2822 nan 0.0100 0.0031
8 1.2762 nan 0.0100 0.0032
9 1.2692 nan 0.0100 0.0032
10 1.2630 nan 0.0100 0.0033
20 1.2041 nan 0.0100 0.0027
40 1.1133 nan 0.0100 0.0018
60 1.0479 nan 0.0100 0.0013
80 0.9980 nan 0.0100 0.0010
100 0.9595 nan 0.0100 0.0007
120 0.9289 nan 0.0100 0.0005
140 0.9050 nan 0.0100 0.0005
160 0.8858 nan 0.0100 0.0001
180 0.8697 nan 0.0100 0.0001
200 0.8557 nan 0.0100 0.0001
220 0.8440 nan 0.0100 0.0001
240 0.8332 nan 0.0100 0.0000
260 0.8247 nan 0.0100 0.0002
280 0.8168 nan 0.0100 -0.0001
300 0.8092 nan 0.0100 0.0000
320 0.8021 nan 0.0100 0.0000
340 0.7952 nan 0.0100 0.0001
360 0.7896 nan 0.0100 -0.0001
380 0.7841 nan 0.0100 0.0000
400 0.7787 nan 0.0100 0.0001
420 0.7737 nan 0.0100 -0.0000
440 0.7690 nan 0.0100 0.0001
460 0.7649 nan 0.0100 -0.0001
480 0.7609 nan 0.0100 -0.0000
500 0.7572 nan 0.0100 -0.0001
520 0.7533 nan 0.0100 0.0000
540 0.7499 nan 0.0100 0.0000
560 0.7470 nan 0.0100 -0.0001
580 0.7437 nan 0.0100 0.0001
600 0.7405 nan 0.0100 -0.0000
620 0.7375 nan 0.0100 -0.0001
640 0.7348 nan 0.0100 -0.0001
660 0.7315 nan 0.0100 -0.0002
680 0.7288 nan 0.0100 -0.0001
700 0.7266 nan 0.0100 -0.0000
720 0.7241 nan 0.0100 -0.0001
740 0.7215 nan 0.0100 -0.0000
760 0.7191 nan 0.0100 0.0000
780 0.7171 nan 0.0100 -0.0002
800 0.7149 nan 0.0100 -0.0001
820 0.7126 nan 0.0100 -0.0001
840 0.7103 nan 0.0100 -0.0001
860 0.7079 nan 0.0100 -0.0000
880 0.7059 nan 0.0100 -0.0001
900 0.7033 nan 0.0100 -0.0001
920 0.7012 nan 0.0100 -0.0000
940 0.6993 nan 0.0100 -0.0001
960 0.6975 nan 0.0100 -0.0001
980 0.6954 nan 0.0100 -0.0001
1000 0.6931 nan 0.0100 -0.0001
1020 0.6912 nan 0.0100 -0.0001
1040 0.6892 nan 0.0100 -0.0001
1060 0.6870 nan 0.0100 -0.0000
1080 0.6849 nan 0.0100 -0.0002
1100 0.6832 nan 0.0100 -0.0002
- Fold09.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3239 nan 0.0100 0.0039
2 1.3153 nan 0.0100 0.0040
3 1.3069 nan 0.0100 0.0039
4 1.2992 nan 0.0100 0.0037
5 1.2921 nan 0.0100 0.0038
6 1.2840 nan 0.0100 0.0035
7 1.2765 nan 0.0100 0.0037
8 1.2693 nan 0.0100 0.0034
9 1.2619 nan 0.0100 0.0036
10 1.2550 nan 0.0100 0.0036
20 1.1935 nan 0.0100 0.0027
40 1.0954 nan 0.0100 0.0017
60 1.0227 nan 0.0100 0.0014
80 0.9686 nan 0.0100 0.0011
100 0.9268 nan 0.0100 0.0008
120 0.8942 nan 0.0100 0.0005
140 0.8687 nan 0.0100 0.0004
160 0.8489 nan 0.0100 0.0003
180 0.8333 nan 0.0100 0.0001
200 0.8184 nan 0.0100 0.0001
220 0.8063 nan 0.0100 0.0001
240 0.7959 nan 0.0100 0.0000
260 0.7865 nan 0.0100 0.0001
280 0.7773 nan 0.0100 0.0002
300 0.7697 nan 0.0100 -0.0001
320 0.7627 nan 0.0100 0.0001
340 0.7561 nan 0.0100 -0.0001
360 0.7497 nan 0.0100 0.0001
380 0.7444 nan 0.0100 -0.0001
400 0.7388 nan 0.0100 0.0001
420 0.7331 nan 0.0100 -0.0001
440 0.7281 nan 0.0100 -0.0001
460 0.7236 nan 0.0100 -0.0001
480 0.7188 nan 0.0100 -0.0001
500 0.7141 nan 0.0100 -0.0001
520 0.7100 nan 0.0100 -0.0001
540 0.7063 nan 0.0100 -0.0002
560 0.7019 nan 0.0100 -0.0001
580 0.6982 nan 0.0100 -0.0001
600 0.6940 nan 0.0100 -0.0000
620 0.6904 nan 0.0100 -0.0001
640 0.6869 nan 0.0100 -0.0001
660 0.6839 nan 0.0100 -0.0000
680 0.6807 nan 0.0100 -0.0001
700 0.6776 nan 0.0100 -0.0001
720 0.6746 nan 0.0100 -0.0002
740 0.6715 nan 0.0100 -0.0001
760 0.6684 nan 0.0100 0.0000
780 0.6653 nan 0.0100 -0.0001
800 0.6626 nan 0.0100 -0.0001
820 0.6594 nan 0.0100 -0.0003
840 0.6568 nan 0.0100 -0.0001
860 0.6540 nan 0.0100 -0.0000
880 0.6507 nan 0.0100 -0.0001
900 0.6483 nan 0.0100 -0.0001
920 0.6454 nan 0.0100 -0.0002
940 0.6428 nan 0.0100 -0.0001
960 0.6406 nan 0.0100 -0.0001
980 0.6379 nan 0.0100 -0.0001
1000 0.6358 nan 0.0100 -0.0000
1020 0.6334 nan 0.0100 -0.0002
1040 0.6309 nan 0.0100 -0.0001
1060 0.6288 nan 0.0100 -0.0001
1080 0.6269 nan 0.0100 -0.0002
1100 0.6248 nan 0.0100 -0.0001
- Fold09.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2780 nan 0.1000 0.0293
2 1.2315 nan 0.1000 0.0240
3 1.1873 nan 0.1000 0.0190
4 1.1564 nan 0.1000 0.0171
5 1.1273 nan 0.1000 0.0134
6 1.1022 nan 0.1000 0.0112
7 1.0813 nan 0.1000 0.0087
8 1.0659 nan 0.1000 0.0077
9 1.0483 nan 0.1000 0.0085
10 1.0341 nan 0.1000 0.0066
20 0.9393 nan 0.1000 0.0019
40 0.8609 nan 0.1000 0.0002
60 0.8257 nan 0.1000 -0.0005
80 0.7956 nan 0.1000 0.0000
100 0.7789 nan 0.1000 0.0000
120 0.7647 nan 0.1000 -0.0002
140 0.7515 nan 0.1000 -0.0002
160 0.7440 nan 0.1000 -0.0008
180 0.7369 nan 0.1000 -0.0008
200 0.7316 nan 0.1000 -0.0005
220 0.7259 nan 0.1000 -0.0011
240 0.7186 nan 0.1000 -0.0003
260 0.7143 nan 0.1000 -0.0006
280 0.7080 nan 0.1000 -0.0004
300 0.7048 nan 0.1000 -0.0004
320 0.7016 nan 0.1000 -0.0007
340 0.6986 nan 0.1000 -0.0009
360 0.6949 nan 0.1000 -0.0010
380 0.6935 nan 0.1000 -0.0017
400 0.6907 nan 0.1000 -0.0009
420 0.6886 nan 0.1000 -0.0012
440 0.6856 nan 0.1000 -0.0006
460 0.6816 nan 0.1000 -0.0006
480 0.6793 nan 0.1000 -0.0006
500 0.6781 nan 0.1000 -0.0009
520 0.6747 nan 0.1000 -0.0004
540 0.6732 nan 0.1000 -0.0008
560 0.6716 nan 0.1000 -0.0017
580 0.6701 nan 0.1000 -0.0006
600 0.6683 nan 0.1000 -0.0012
620 0.6659 nan 0.1000 -0.0013
640 0.6651 nan 0.1000 -0.0008
660 0.6630 nan 0.1000 -0.0006
680 0.6616 nan 0.1000 -0.0007
700 0.6605 nan 0.1000 -0.0004
720 0.6590 nan 0.1000 -0.0006
740 0.6570 nan 0.1000 -0.0003
760 0.6551 nan 0.1000 -0.0013
780 0.6537 nan 0.1000 -0.0010
800 0.6527 nan 0.1000 -0.0004
820 0.6524 nan 0.1000 -0.0010
840 0.6505 nan 0.1000 -0.0004
860 0.6497 nan 0.1000 -0.0009
880 0.6484 nan 0.1000 -0.0014
900 0.6465 nan 0.1000 -0.0007
920 0.6455 nan 0.1000 -0.0007
940 0.6435 nan 0.1000 -0.0008
960 0.6422 nan 0.1000 -0.0004
980 0.6405 nan 0.1000 -0.0012
1000 0.6392 nan 0.1000 -0.0008
1020 0.6380 nan 0.1000 -0.0005
1040 0.6366 nan 0.1000 -0.0004
1060 0.6353 nan 0.1000 -0.0003
1080 0.6343 nan 0.1000 -0.0011
1100 0.6333 nan 0.1000 -0.0008
- Fold09.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2591 nan 0.1000 0.0336
2 1.1987 nan 0.1000 0.0312
3 1.1488 nan 0.1000 0.0243
4 1.1070 nan 0.1000 0.0195
5 1.0700 nan 0.1000 0.0161
6 1.0379 nan 0.1000 0.0151
7 1.0082 nan 0.1000 0.0121
8 0.9867 nan 0.1000 0.0106
9 0.9676 nan 0.1000 0.0083
10 0.9505 nan 0.1000 0.0068
20 0.8493 nan 0.1000 0.0015
40 0.7767 nan 0.1000 -0.0012
60 0.7394 nan 0.1000 -0.0008
80 0.7137 nan 0.1000 -0.0008
100 0.6908 nan 0.1000 -0.0005
120 0.6722 nan 0.1000 -0.0011
140 0.6569 nan 0.1000 -0.0028
160 0.6451 nan 0.1000 -0.0016
180 0.6323 nan 0.1000 -0.0005
200 0.6223 nan 0.1000 -0.0007
220 0.6112 nan 0.1000 0.0003
240 0.6005 nan 0.1000 -0.0008
260 0.5918 nan 0.1000 -0.0011
280 0.5810 nan 0.1000 -0.0000
300 0.5740 nan 0.1000 -0.0013
320 0.5660 nan 0.1000 -0.0008
340 0.5576 nan 0.1000 -0.0016
360 0.5493 nan 0.1000 -0.0005
380 0.5432 nan 0.1000 -0.0015
400 0.5335 nan 0.1000 -0.0007
420 0.5250 nan 0.1000 -0.0007
440 0.5169 nan 0.1000 -0.0006
460 0.5124 nan 0.1000 -0.0008
480 0.5069 nan 0.1000 -0.0005
500 0.5022 nan 0.1000 -0.0006
520 0.4957 nan 0.1000 -0.0013
540 0.4903 nan 0.1000 -0.0003
560 0.4856 nan 0.1000 -0.0011
580 0.4811 nan 0.1000 -0.0005
600 0.4767 nan 0.1000 -0.0011
620 0.4728 nan 0.1000 -0.0013
640 0.4705 nan 0.1000 -0.0005
660 0.4652 nan 0.1000 -0.0007
680 0.4607 nan 0.1000 -0.0010
700 0.4555 nan 0.1000 -0.0003
720 0.4507 nan 0.1000 -0.0008
740 0.4466 nan 0.1000 -0.0012
760 0.4417 nan 0.1000 -0.0009
780 0.4378 nan 0.1000 -0.0007
800 0.4331 nan 0.1000 -0.0013
820 0.4298 nan 0.1000 -0.0008
840 0.4244 nan 0.1000 -0.0008
860 0.4215 nan 0.1000 -0.0007
880 0.4181 nan 0.1000 -0.0017
900 0.4137 nan 0.1000 -0.0009
920 0.4113 nan 0.1000 -0.0012
940 0.4064 nan 0.1000 -0.0013
960 0.4023 nan 0.1000 -0.0010
980 0.3984 nan 0.1000 -0.0011
1000 0.3964 nan 0.1000 -0.0007
1020 0.3914 nan 0.1000 -0.0006
1040 0.3892 nan 0.1000 -0.0008
1060 0.3857 nan 0.1000 -0.0009
1080 0.3820 nan 0.1000 -0.0007
1100 0.3800 nan 0.1000 -0.0009
- Fold09.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2583 nan 0.1000 0.0384
2 1.1913 nan 0.1000 0.0321
3 1.1359 nan 0.1000 0.0271
4 1.0922 nan 0.1000 0.0224
5 1.0529 nan 0.1000 0.0169
6 1.0179 nan 0.1000 0.0158
7 0.9896 nan 0.1000 0.0117
8 0.9631 nan 0.1000 0.0121
9 0.9386 nan 0.1000 0.0101
10 0.9175 nan 0.1000 0.0081
20 0.8167 nan 0.1000 0.0015
40 0.7357 nan 0.1000 -0.0004
60 0.7034 nan 0.1000 -0.0005
80 0.6742 nan 0.1000 -0.0004
100 0.6422 nan 0.1000 -0.0001
120 0.6194 nan 0.1000 -0.0010
140 0.6040 nan 0.1000 -0.0028
160 0.5878 nan 0.1000 -0.0005
180 0.5695 nan 0.1000 -0.0008
200 0.5555 nan 0.1000 -0.0010
220 0.5398 nan 0.1000 -0.0016
240 0.5261 nan 0.1000 -0.0012
260 0.5116 nan 0.1000 -0.0010
280 0.4982 nan 0.1000 -0.0011
300 0.4878 nan 0.1000 -0.0013
320 0.4758 nan 0.1000 -0.0013
340 0.4671 nan 0.1000 -0.0010
360 0.4623 nan 0.1000 -0.0010
380 0.4542 nan 0.1000 -0.0018
400 0.4459 nan 0.1000 -0.0007
420 0.4339 nan 0.1000 -0.0011
440 0.4265 nan 0.1000 -0.0014
460 0.4167 nan 0.1000 -0.0018
480 0.4076 nan 0.1000 -0.0021
500 0.4003 nan 0.1000 -0.0010
520 0.3927 nan 0.1000 -0.0017
540 0.3876 nan 0.1000 -0.0011
560 0.3831 nan 0.1000 -0.0016
580 0.3765 nan 0.1000 -0.0003
600 0.3710 nan 0.1000 -0.0014
620 0.3661 nan 0.1000 -0.0010
640 0.3599 nan 0.1000 -0.0015
660 0.3527 nan 0.1000 -0.0012
680 0.3472 nan 0.1000 -0.0007
700 0.3426 nan 0.1000 -0.0012
720 0.3387 nan 0.1000 -0.0007
740 0.3336 nan 0.1000 -0.0007
760 0.3269 nan 0.1000 -0.0009
780 0.3227 nan 0.1000 -0.0005
800 0.3187 nan 0.1000 -0.0014
820 0.3120 nan 0.1000 -0.0008
840 0.3062 nan 0.1000 -0.0014
860 0.3018 nan 0.1000 -0.0008
880 0.2985 nan 0.1000 -0.0004
900 0.2930 nan 0.1000 -0.0018
920 0.2888 nan 0.1000 -0.0009
940 0.2842 nan 0.1000 -0.0007
960 0.2804 nan 0.1000 -0.0010
980 0.2766 nan 0.1000 -0.0007
1000 0.2722 nan 0.1000 -0.0008
1020 0.2687 nan 0.1000 -0.0013
1040 0.2658 nan 0.1000 -0.0011
1060 0.2611 nan 0.1000 -0.0007
1080 0.2581 nan 0.1000 -0.0010
1100 0.2560 nan 0.1000 -0.0005
- Fold09.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3270 nan 0.0100 0.0028
2 1.3214 nan 0.0100 0.0029
3 1.3155 nan 0.0100 0.0026
4 1.3102 nan 0.0100 0.0028
5 1.3048 nan 0.0100 0.0027
6 1.2993 nan 0.0100 0.0026
7 1.2938 nan 0.0100 0.0025
8 1.2892 nan 0.0100 0.0025
9 1.2840 nan 0.0100 0.0025
10 1.2796 nan 0.0100 0.0022
20 1.2353 nan 0.0100 0.0021
40 1.1682 nan 0.0100 0.0013
60 1.1202 nan 0.0100 0.0010
80 1.0848 nan 0.0100 0.0007
100 1.0561 nan 0.0100 0.0005
120 1.0310 nan 0.0100 0.0005
140 1.0107 nan 0.0100 0.0003
160 0.9927 nan 0.0100 0.0003
180 0.9776 nan 0.0100 0.0003
200 0.9653 nan 0.0100 0.0003
220 0.9536 nan 0.0100 0.0002
240 0.9435 nan 0.0100 0.0002
260 0.9342 nan 0.0100 0.0001
280 0.9261 nan 0.0100 0.0001
300 0.9182 nan 0.0100 0.0002
320 0.9115 nan 0.0100 0.0000
340 0.9047 nan 0.0100 0.0001
360 0.8990 nan 0.0100 0.0001
380 0.8930 nan 0.0100 0.0001
400 0.8877 nan 0.0100 0.0000
420 0.8831 nan 0.0100 -0.0001
440 0.8786 nan 0.0100 -0.0000
460 0.8744 nan 0.0100 0.0000
480 0.8705 nan 0.0100 0.0000
500 0.8669 nan 0.0100 -0.0001
520 0.8629 nan 0.0100 -0.0000
540 0.8594 nan 0.0100 -0.0000
560 0.8561 nan 0.0100 0.0000
580 0.8526 nan 0.0100 -0.0000
600 0.8496 nan 0.0100 -0.0000
620 0.8469 nan 0.0100 -0.0000
640 0.8441 nan 0.0100 0.0000
660 0.8415 nan 0.0100 0.0000
680 0.8390 nan 0.0100 -0.0000
700 0.8364 nan 0.0100 -0.0001
720 0.8343 nan 0.0100 -0.0000
740 0.8320 nan 0.0100 -0.0000
760 0.8298 nan 0.0100 -0.0001
780 0.8277 nan 0.0100 -0.0001
800 0.8257 nan 0.0100 -0.0000
820 0.8236 nan 0.0100 -0.0000
840 0.8215 nan 0.0100 -0.0000
860 0.8197 nan 0.0100 -0.0000
880 0.8179 nan 0.0100 -0.0001
900 0.8161 nan 0.0100 0.0000
920 0.8145 nan 0.0100 -0.0001
940 0.8127 nan 0.0100 -0.0000
960 0.8111 nan 0.0100 -0.0000
980 0.8097 nan 0.0100 -0.0000
1000 0.8081 nan 0.0100 -0.0001
1020 0.8065 nan 0.0100 -0.0001
1040 0.8052 nan 0.0100 -0.0001
1060 0.8038 nan 0.0100 -0.0001
1080 0.8026 nan 0.0100 -0.0000
1100 0.8014 nan 0.0100 -0.0000
- Fold10.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3253 nan 0.0100 0.0034
2 1.3184 nan 0.0100 0.0035
3 1.3113 nan 0.0100 0.0034
4 1.3050 nan 0.0100 0.0034
5 1.2984 nan 0.0100 0.0034
6 1.2917 nan 0.0100 0.0033
7 1.2853 nan 0.0100 0.0029
8 1.2788 nan 0.0100 0.0031
9 1.2725 nan 0.0100 0.0030
10 1.2663 nan 0.0100 0.0027
20 1.2106 nan 0.0100 0.0024
40 1.1253 nan 0.0100 0.0017
60 1.0628 nan 0.0100 0.0013
80 1.0163 nan 0.0100 0.0009
100 0.9798 nan 0.0100 0.0007
120 0.9507 nan 0.0100 0.0005
140 0.9275 nan 0.0100 0.0004
160 0.9096 nan 0.0100 0.0002
180 0.8940 nan 0.0100 0.0004
200 0.8812 nan 0.0100 0.0001
220 0.8696 nan 0.0100 0.0002
240 0.8598 nan 0.0100 0.0000
260 0.8515 nan 0.0100 0.0001
280 0.8437 nan 0.0100 0.0000
300 0.8358 nan 0.0100 0.0001
320 0.8286 nan 0.0100 0.0002
340 0.8223 nan 0.0100 0.0001
360 0.8163 nan 0.0100 0.0001
380 0.8109 nan 0.0100 0.0001
400 0.8055 nan 0.0100 -0.0000
420 0.8005 nan 0.0100 -0.0000
440 0.7957 nan 0.0100 0.0000
460 0.7915 nan 0.0100 -0.0000
480 0.7875 nan 0.0100 -0.0001
500 0.7836 nan 0.0100 -0.0001
520 0.7799 nan 0.0100 -0.0000
540 0.7761 nan 0.0100 -0.0000
560 0.7729 nan 0.0100 -0.0000
580 0.7702 nan 0.0100 -0.0000
600 0.7672 nan 0.0100 -0.0001
620 0.7642 nan 0.0100 -0.0001
640 0.7610 nan 0.0100 0.0000
660 0.7580 nan 0.0100 -0.0001
680 0.7554 nan 0.0100 -0.0002
700 0.7527 nan 0.0100 -0.0002
720 0.7503 nan 0.0100 -0.0001
740 0.7477 nan 0.0100 -0.0001
760 0.7457 nan 0.0100 -0.0001
780 0.7428 nan 0.0100 -0.0000
800 0.7403 nan 0.0100 -0.0002
820 0.7382 nan 0.0100 -0.0000
840 0.7361 nan 0.0100 -0.0001
860 0.7341 nan 0.0100 -0.0001
880 0.7316 nan 0.0100 -0.0001
900 0.7296 nan 0.0100 -0.0001
920 0.7269 nan 0.0100 -0.0001
940 0.7248 nan 0.0100 -0.0001
960 0.7228 nan 0.0100 -0.0001
980 0.7205 nan 0.0100 -0.0001
1000 0.7188 nan 0.0100 0.0000
1020 0.7164 nan 0.0100 -0.0001
1040 0.7150 nan 0.0100 -0.0001
1060 0.7128 nan 0.0100 0.0000
1080 0.7108 nan 0.0100 -0.0000
1100 0.7090 nan 0.0100 -0.0001
- Fold10.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3241 nan 0.0100 0.0039
2 1.3155 nan 0.0100 0.0038
3 1.3080 nan 0.0100 0.0036
4 1.3004 nan 0.0100 0.0035
5 1.2932 nan 0.0100 0.0035
6 1.2857 nan 0.0100 0.0035
7 1.2787 nan 0.0100 0.0034
8 1.2715 nan 0.0100 0.0034
9 1.2642 nan 0.0100 0.0034
10 1.2573 nan 0.0100 0.0032
20 1.1971 nan 0.0100 0.0026
40 1.1035 nan 0.0100 0.0017
60 1.0340 nan 0.0100 0.0014
80 0.9833 nan 0.0100 0.0011
100 0.9446 nan 0.0100 0.0007
120 0.9148 nan 0.0100 0.0005
140 0.8919 nan 0.0100 0.0003
160 0.8720 nan 0.0100 0.0003
180 0.8556 nan 0.0100 0.0003
200 0.8410 nan 0.0100 0.0002
220 0.8292 nan 0.0100 0.0002
240 0.8178 nan 0.0100 0.0001
260 0.8081 nan 0.0100 0.0000
280 0.7990 nan 0.0100 0.0002
300 0.7903 nan 0.0100 0.0001
320 0.7835 nan 0.0100 -0.0001
340 0.7766 nan 0.0100 -0.0000
360 0.7708 nan 0.0100 -0.0000
380 0.7656 nan 0.0100 -0.0001
400 0.7598 nan 0.0100 -0.0001
420 0.7551 nan 0.0100 0.0000
440 0.7499 nan 0.0100 -0.0000
460 0.7446 nan 0.0100 -0.0001
480 0.7406 nan 0.0100 -0.0002
500 0.7362 nan 0.0100 -0.0000
520 0.7323 nan 0.0100 -0.0001
540 0.7280 nan 0.0100 -0.0001
560 0.7234 nan 0.0100 -0.0001
580 0.7194 nan 0.0100 0.0000
600 0.7158 nan 0.0100 -0.0001
620 0.7123 nan 0.0100 -0.0002
640 0.7090 nan 0.0100 -0.0000
660 0.7060 nan 0.0100 -0.0001
680 0.7025 nan 0.0100 -0.0001
700 0.6991 nan 0.0100 -0.0001
720 0.6963 nan 0.0100 -0.0001
740 0.6930 nan 0.0100 -0.0000
760 0.6900 nan 0.0100 -0.0001
780 0.6869 nan 0.0100 -0.0001
800 0.6840 nan 0.0100 -0.0002
820 0.6808 nan 0.0100 -0.0001
840 0.6782 nan 0.0100 -0.0001
860 0.6755 nan 0.0100 -0.0002
880 0.6725 nan 0.0100 -0.0001
900 0.6691 nan 0.0100 -0.0001
920 0.6668 nan 0.0100 -0.0001
940 0.6644 nan 0.0100 -0.0001
960 0.6618 nan 0.0100 -0.0002
980 0.6590 nan 0.0100 -0.0002
1000 0.6568 nan 0.0100 -0.0000
1020 0.6544 nan 0.0100 -0.0000
1040 0.6517 nan 0.0100 -0.0000
1060 0.6491 nan 0.0100 -0.0002
1080 0.6469 nan 0.0100 -0.0002
1100 0.6441 nan 0.0100 -0.0001
- Fold10.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2755 nan 0.1000 0.0280
2 1.2291 nan 0.1000 0.0227
3 1.1916 nan 0.1000 0.0182
4 1.1601 nan 0.1000 0.0147
5 1.1321 nan 0.1000 0.0113
6 1.1083 nan 0.1000 0.0100
7 1.0897 nan 0.1000 0.0053
8 1.0741 nan 0.1000 0.0080
9 1.0593 nan 0.1000 0.0065
10 1.0433 nan 0.1000 0.0051
20 0.9604 nan 0.1000 0.0005
40 0.8854 nan 0.1000 0.0000
60 0.8505 nan 0.1000 -0.0001
80 0.8274 nan 0.1000 -0.0005
100 0.8084 nan 0.1000 -0.0003
120 0.7944 nan 0.1000 -0.0005
140 0.7855 nan 0.1000 -0.0005
160 0.7779 nan 0.1000 -0.0005
180 0.7727 nan 0.1000 -0.0009
200 0.7653 nan 0.1000 -0.0001
220 0.7598 nan 0.1000 -0.0008
240 0.7524 nan 0.1000 -0.0004
260 0.7472 nan 0.1000 -0.0001
280 0.7413 nan 0.1000 -0.0008
300 0.7367 nan 0.1000 -0.0006
320 0.7337 nan 0.1000 -0.0005
340 0.7307 nan 0.1000 -0.0010
360 0.7264 nan 0.1000 -0.0004
380 0.7233 nan 0.1000 -0.0000
400 0.7193 nan 0.1000 -0.0007
420 0.7169 nan 0.1000 -0.0011
440 0.7144 nan 0.1000 -0.0001
460 0.7117 nan 0.1000 -0.0010
480 0.7100 nan 0.1000 -0.0004
500 0.7064 nan 0.1000 -0.0016
520 0.7049 nan 0.1000 -0.0007
540 0.7024 nan 0.1000 -0.0005
560 0.6990 nan 0.1000 -0.0006
580 0.6969 nan 0.1000 -0.0005
600 0.6936 nan 0.1000 -0.0003
620 0.6923 nan 0.1000 -0.0004
640 0.6916 nan 0.1000 -0.0009
660 0.6902 nan 0.1000 -0.0019
680 0.6884 nan 0.1000 -0.0011
700 0.6868 nan 0.1000 -0.0012
720 0.6827 nan 0.1000 -0.0014
740 0.6809 nan 0.1000 -0.0014
760 0.6797 nan 0.1000 -0.0014
780 0.6779 nan 0.1000 -0.0004
800 0.6752 nan 0.1000 -0.0006
820 0.6737 nan 0.1000 -0.0008
840 0.6716 nan 0.1000 -0.0004
860 0.6686 nan 0.1000 -0.0006
880 0.6664 nan 0.1000 -0.0006
900 0.6647 nan 0.1000 -0.0006
920 0.6636 nan 0.1000 -0.0008
940 0.6615 nan 0.1000 -0.0010
960 0.6609 nan 0.1000 -0.0009
980 0.6597 nan 0.1000 -0.0007
1000 0.6581 nan 0.1000 -0.0003
1020 0.6578 nan 0.1000 -0.0011
1040 0.6559 nan 0.1000 -0.0006
1060 0.6543 nan 0.1000 -0.0005
1080 0.6531 nan 0.1000 -0.0012
1100 0.6517 nan 0.1000 -0.0007
- Fold10.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2652 nan 0.1000 0.0336
2 1.2109 nan 0.1000 0.0274
3 1.1668 nan 0.1000 0.0239
4 1.1284 nan 0.1000 0.0201
5 1.0954 nan 0.1000 0.0158
6 1.0619 nan 0.1000 0.0146
7 1.0367 nan 0.1000 0.0101
8 1.0129 nan 0.1000 0.0099
9 0.9944 nan 0.1000 0.0095
10 0.9775 nan 0.1000 0.0076
20 0.8802 nan 0.1000 0.0010
40 0.8117 nan 0.1000 0.0002
60 0.7754 nan 0.1000 -0.0013
80 0.7485 nan 0.1000 -0.0009
100 0.7297 nan 0.1000 -0.0003
120 0.7094 nan 0.1000 -0.0017
140 0.6955 nan 0.1000 -0.0008
160 0.6816 nan 0.1000 -0.0004
180 0.6676 nan 0.1000 -0.0014
200 0.6519 nan 0.1000 -0.0014
220 0.6384 nan 0.1000 -0.0000
240 0.6252 nan 0.1000 0.0006
260 0.6123 nan 0.1000 -0.0008
280 0.6040 nan 0.1000 -0.0005
300 0.5962 nan 0.1000 -0.0014
320 0.5884 nan 0.1000 -0.0011
340 0.5802 nan 0.1000 -0.0015
360 0.5731 nan 0.1000 -0.0010
380 0.5667 nan 0.1000 -0.0012
400 0.5592 nan 0.1000 -0.0012
420 0.5538 nan 0.1000 -0.0013
440 0.5454 nan 0.1000 -0.0012
460 0.5377 nan 0.1000 -0.0015
480 0.5307 nan 0.1000 -0.0005
500 0.5226 nan 0.1000 -0.0010
520 0.5156 nan 0.1000 -0.0006
540 0.5110 nan 0.1000 -0.0018
560 0.5050 nan 0.1000 -0.0010
580 0.4980 nan 0.1000 -0.0006
600 0.4927 nan 0.1000 -0.0012
620 0.4882 nan 0.1000 -0.0007
640 0.4821 nan 0.1000 -0.0008
660 0.4770 nan 0.1000 -0.0011
680 0.4724 nan 0.1000 -0.0005
700 0.4676 nan 0.1000 -0.0007
720 0.4643 nan 0.1000 -0.0007
740 0.4599 nan 0.1000 -0.0015
760 0.4575 nan 0.1000 -0.0005
780 0.4530 nan 0.1000 -0.0006
800 0.4483 nan 0.1000 -0.0003
820 0.4428 nan 0.1000 -0.0008
840 0.4379 nan 0.1000 -0.0008
860 0.4348 nan 0.1000 -0.0012
880 0.4322 nan 0.1000 -0.0008
900 0.4272 nan 0.1000 -0.0005
920 0.4230 nan 0.1000 -0.0007
940 0.4205 nan 0.1000 -0.0008
960 0.4161 nan 0.1000 -0.0001
980 0.4129 nan 0.1000 -0.0005
1000 0.4084 nan 0.1000 -0.0005
1020 0.4059 nan 0.1000 -0.0007
1040 0.4041 nan 0.1000 -0.0004
1060 0.4002 nan 0.1000 -0.0005
1080 0.3966 nan 0.1000 -0.0005
1100 0.3937 nan 0.1000 -0.0011
- Fold10.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2569 nan 0.1000 0.0366
2 1.1927 nan 0.1000 0.0313
3 1.1385 nan 0.1000 0.0254
4 1.0968 nan 0.1000 0.0203
5 1.0619 nan 0.1000 0.0156
6 1.0267 nan 0.1000 0.0154
7 0.9989 nan 0.1000 0.0117
8 0.9772 nan 0.1000 0.0111
9 0.9571 nan 0.1000 0.0088
10 0.9351 nan 0.1000 0.0076
20 0.8378 nan 0.1000 0.0021
40 0.7580 nan 0.1000 0.0004
60 0.7138 nan 0.1000 -0.0004
80 0.6802 nan 0.1000 -0.0008
100 0.6572 nan 0.1000 -0.0006
120 0.6293 nan 0.1000 -0.0008
140 0.6095 nan 0.1000 -0.0012
160 0.5883 nan 0.1000 -0.0007
180 0.5696 nan 0.1000 -0.0014
200 0.5580 nan 0.1000 -0.0009
220 0.5428 nan 0.1000 -0.0009
240 0.5255 nan 0.1000 -0.0015
260 0.5138 nan 0.1000 -0.0017
280 0.5015 nan 0.1000 -0.0005
300 0.4919 nan 0.1000 -0.0003
320 0.4819 nan 0.1000 -0.0011
340 0.4706 nan 0.1000 -0.0015
360 0.4622 nan 0.1000 -0.0012
380 0.4513 nan 0.1000 -0.0017
400 0.4433 nan 0.1000 -0.0012
420 0.4344 nan 0.1000 -0.0007
440 0.4291 nan 0.1000 -0.0014
460 0.4221 nan 0.1000 -0.0016
480 0.4125 nan 0.1000 -0.0012
500 0.4053 nan 0.1000 -0.0009
520 0.3970 nan 0.1000 -0.0016
540 0.3897 nan 0.1000 -0.0007
560 0.3844 nan 0.1000 -0.0016
580 0.3792 nan 0.1000 -0.0014
600 0.3722 nan 0.1000 -0.0013
620 0.3656 nan 0.1000 -0.0008
640 0.3590 nan 0.1000 -0.0008
660 0.3534 nan 0.1000 -0.0014
680 0.3478 nan 0.1000 -0.0002
700 0.3410 nan 0.1000 -0.0004
720 0.3372 nan 0.1000 -0.0010
740 0.3328 nan 0.1000 -0.0017
760 0.3273 nan 0.1000 -0.0008
780 0.3235 nan 0.1000 -0.0005
800 0.3177 nan 0.1000 -0.0011
820 0.3137 nan 0.1000 -0.0010
840 0.3093 nan 0.1000 -0.0014
860 0.3045 nan 0.1000 -0.0012
880 0.2994 nan 0.1000 -0.0008
900 0.2938 nan 0.1000 -0.0005
920 0.2912 nan 0.1000 -0.0009
940 0.2862 nan 0.1000 -0.0005
960 0.2825 nan 0.1000 -0.0009
980 0.2792 nan 0.1000 -0.0014
1000 0.2747 nan 0.1000 -0.0008
1020 0.2707 nan 0.1000 -0.0007
1040 0.2676 nan 0.1000 -0.0009
1060 0.2640 nan 0.1000 -0.0009
1080 0.2605 nan 0.1000 -0.0007
1100 0.2572 nan 0.1000 -0.0007
- Fold10.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3258 nan 0.0100 0.0028
2 1.3199 nan 0.0100 0.0027
3 1.3150 nan 0.0100 0.0027
4 1.3097 nan 0.0100 0.0026
5 1.3045 nan 0.0100 0.0025
6 1.2993 nan 0.0100 0.0026
7 1.2947 nan 0.0100 0.0025
8 1.2897 nan 0.0100 0.0024
9 1.2844 nan 0.0100 0.0023
10 1.2798 nan 0.0100 0.0024
20 1.2359 nan 0.0100 0.0019
40 1.1688 nan 0.0100 0.0013
60 1.1224 nan 0.0100 0.0008
80 1.0865 nan 0.0100 0.0007
100 1.0575 nan 0.0100 0.0006
120 1.0340 nan 0.0100 0.0005
140 1.0137 nan 0.0100 0.0004
160 0.9966 nan 0.0100 0.0002
180 0.9820 nan 0.0100 0.0003
200 0.9679 nan 0.0100 0.0003
220 0.9550 nan 0.0100 0.0002
240 0.9442 nan 0.0100 0.0002
260 0.9348 nan 0.0100 0.0002
280 0.9260 nan 0.0100 0.0002
300 0.9177 nan 0.0100 -0.0000
320 0.9108 nan 0.0100 0.0001
340 0.9042 nan 0.0100 0.0001
360 0.8976 nan 0.0100 0.0000
380 0.8919 nan 0.0100 0.0000
400 0.8870 nan 0.0100 -0.0000
420 0.8822 nan 0.0100 0.0000
440 0.8776 nan 0.0100 0.0000
460 0.8731 nan 0.0100 0.0001
480 0.8689 nan 0.0100 0.0001
500 0.8649 nan 0.0100 -0.0000
520 0.8614 nan 0.0100 0.0000
540 0.8577 nan 0.0100 0.0001
560 0.8541 nan 0.0100 -0.0000
580 0.8507 nan 0.0100 0.0000
600 0.8474 nan 0.0100 0.0001
620 0.8445 nan 0.0100 0.0000
640 0.8415 nan 0.0100 -0.0001
660 0.8386 nan 0.0100 -0.0000
680 0.8359 nan 0.0100 0.0001
700 0.8336 nan 0.0100 0.0000
720 0.8314 nan 0.0100 -0.0000
740 0.8291 nan 0.0100 -0.0001
760 0.8267 nan 0.0100 0.0000
780 0.8243 nan 0.0100 0.0000
800 0.8221 nan 0.0100 -0.0000
820 0.8202 nan 0.0100 -0.0000
840 0.8182 nan 0.0100 -0.0000
860 0.8164 nan 0.0100 -0.0001
880 0.8146 nan 0.0100 -0.0000
900 0.8129 nan 0.0100 -0.0001
920 0.8110 nan 0.0100 -0.0000
940 0.8095 nan 0.0100 0.0000
960 0.8081 nan 0.0100 -0.0001
980 0.8066 nan 0.0100 -0.0001
1000 0.8052 nan 0.0100 -0.0001
1020 0.8038 nan 0.0100 -0.0000
1040 0.8026 nan 0.0100 -0.0001
1060 0.8010 nan 0.0100 -0.0000
1080 0.7996 nan 0.0100 -0.0000
1100 0.7982 nan 0.0100 -0.0001
- Fold01.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3242 nan 0.0100 0.0033
2 1.3173 nan 0.0100 0.0037
3 1.3105 nan 0.0100 0.0032
4 1.3037 nan 0.0100 0.0032
5 1.2968 nan 0.0100 0.0033
6 1.2897 nan 0.0100 0.0032
7 1.2830 nan 0.0100 0.0033
8 1.2766 nan 0.0100 0.0032
9 1.2701 nan 0.0100 0.0029
10 1.2639 nan 0.0100 0.0028
20 1.2099 nan 0.0100 0.0025
40 1.1250 nan 0.0100 0.0018
60 1.0610 nan 0.0100 0.0013
80 1.0136 nan 0.0100 0.0010
100 0.9776 nan 0.0100 0.0006
120 0.9481 nan 0.0100 0.0005
140 0.9266 nan 0.0100 0.0003
160 0.9080 nan 0.0100 0.0003
180 0.8928 nan 0.0100 0.0001
200 0.8795 nan 0.0100 0.0001
220 0.8679 nan 0.0100 0.0001
240 0.8569 nan 0.0100 0.0001
260 0.8477 nan 0.0100 0.0001
280 0.8390 nan 0.0100 0.0002
300 0.8312 nan 0.0100 -0.0000
320 0.8245 nan 0.0100 0.0000
340 0.8181 nan 0.0100 -0.0000
360 0.8123 nan 0.0100 -0.0000
380 0.8069 nan 0.0100 0.0000
400 0.8020 nan 0.0100 0.0001
420 0.7977 nan 0.0100 -0.0001
440 0.7934 nan 0.0100 -0.0000
460 0.7886 nan 0.0100 -0.0000
480 0.7850 nan 0.0100 -0.0000
500 0.7811 nan 0.0100 -0.0000
520 0.7775 nan 0.0100 -0.0000
540 0.7741 nan 0.0100 -0.0000
560 0.7709 nan 0.0100 -0.0000
580 0.7674 nan 0.0100 -0.0002
600 0.7646 nan 0.0100 -0.0000
620 0.7619 nan 0.0100 -0.0001
640 0.7592 nan 0.0100 -0.0001
660 0.7560 nan 0.0100 -0.0000
680 0.7537 nan 0.0100 -0.0000
700 0.7510 nan 0.0100 -0.0001
720 0.7483 nan 0.0100 -0.0001
740 0.7456 nan 0.0100 -0.0002
760 0.7430 nan 0.0100 -0.0001
780 0.7405 nan 0.0100 -0.0001
800 0.7379 nan 0.0100 -0.0002
820 0.7360 nan 0.0100 -0.0000
840 0.7339 nan 0.0100 -0.0001
860 0.7322 nan 0.0100 -0.0001
880 0.7301 nan 0.0100 -0.0001
900 0.7280 nan 0.0100 -0.0001
920 0.7263 nan 0.0100 -0.0000
940 0.7246 nan 0.0100 -0.0001
960 0.7226 nan 0.0100 -0.0001
980 0.7206 nan 0.0100 -0.0001
1000 0.7188 nan 0.0100 -0.0001
1020 0.7171 nan 0.0100 -0.0001
1040 0.7152 nan 0.0100 -0.0002
1060 0.7136 nan 0.0100 -0.0001
1080 0.7118 nan 0.0100 -0.0000
1100 0.7102 nan 0.0100 -0.0001
- Fold01.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3230 nan 0.0100 0.0038
2 1.3155 nan 0.0100 0.0035
3 1.3078 nan 0.0100 0.0038
4 1.2999 nan 0.0100 0.0037
5 1.2927 nan 0.0100 0.0036
6 1.2861 nan 0.0100 0.0030
7 1.2789 nan 0.0100 0.0032
8 1.2714 nan 0.0100 0.0034
9 1.2648 nan 0.0100 0.0030
10 1.2581 nan 0.0100 0.0032
20 1.1971 nan 0.0100 0.0027
40 1.1041 nan 0.0100 0.0019
60 1.0353 nan 0.0100 0.0013
80 0.9833 nan 0.0100 0.0008
100 0.9435 nan 0.0100 0.0005
120 0.9147 nan 0.0100 0.0005
140 0.8912 nan 0.0100 0.0005
160 0.8722 nan 0.0100 0.0002
180 0.8552 nan 0.0100 0.0003
200 0.8413 nan 0.0100 0.0001
220 0.8294 nan 0.0100 0.0000
240 0.8182 nan 0.0100 0.0002
260 0.8079 nan 0.0100 -0.0000
280 0.7994 nan 0.0100 -0.0000
300 0.7919 nan 0.0100 0.0001
320 0.7851 nan 0.0100 0.0001
340 0.7785 nan 0.0100 0.0000
360 0.7727 nan 0.0100 -0.0002
380 0.7667 nan 0.0100 -0.0000
400 0.7610 nan 0.0100 0.0001
420 0.7559 nan 0.0100 0.0000
440 0.7507 nan 0.0100 0.0000
460 0.7462 nan 0.0100 -0.0000
480 0.7420 nan 0.0100 -0.0000
500 0.7384 nan 0.0100 -0.0002
520 0.7346 nan 0.0100 -0.0001
540 0.7307 nan 0.0100 -0.0001
560 0.7273 nan 0.0100 -0.0001
580 0.7228 nan 0.0100 -0.0002
600 0.7194 nan 0.0100 -0.0000
620 0.7162 nan 0.0100 -0.0001
640 0.7130 nan 0.0100 -0.0002
660 0.7100 nan 0.0100 -0.0001
680 0.7068 nan 0.0100 -0.0000
700 0.7038 nan 0.0100 -0.0000
720 0.7005 nan 0.0100 -0.0001
740 0.6975 nan 0.0100 -0.0001
760 0.6944 nan 0.0100 -0.0001
780 0.6912 nan 0.0100 -0.0000
800 0.6886 nan 0.0100 -0.0001
820 0.6858 nan 0.0100 -0.0001
840 0.6828 nan 0.0100 -0.0001
860 0.6804 nan 0.0100 -0.0001
880 0.6778 nan 0.0100 -0.0001
900 0.6752 nan 0.0100 -0.0001
920 0.6722 nan 0.0100 -0.0001
940 0.6699 nan 0.0100 -0.0001
960 0.6673 nan 0.0100 -0.0001
980 0.6653 nan 0.0100 -0.0001
1000 0.6625 nan 0.0100 -0.0001
1020 0.6596 nan 0.0100 -0.0000
1040 0.6578 nan 0.0100 -0.0002
1060 0.6557 nan 0.0100 -0.0002
1080 0.6534 nan 0.0100 -0.0002
1100 0.6512 nan 0.0100 -0.0001
- Fold01.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2761 nan 0.1000 0.0264
2 1.2333 nan 0.1000 0.0224
3 1.1978 nan 0.1000 0.0183
4 1.1618 nan 0.1000 0.0130
5 1.1361 nan 0.1000 0.0117
6 1.1191 nan 0.1000 0.0074
7 1.0972 nan 0.1000 0.0096
8 1.0806 nan 0.1000 0.0080
9 1.0670 nan 0.1000 0.0064
10 1.0518 nan 0.1000 0.0062
20 0.9638 nan 0.1000 0.0031
40 0.8833 nan 0.1000 0.0010
60 0.8448 nan 0.1000 0.0001
80 0.8196 nan 0.1000 -0.0001
100 0.8041 nan 0.1000 -0.0004
120 0.7921 nan 0.1000 -0.0007
140 0.7830 nan 0.1000 -0.0005
160 0.7731 nan 0.1000 -0.0002
180 0.7671 nan 0.1000 -0.0006
200 0.7613 nan 0.1000 -0.0007
220 0.7556 nan 0.1000 -0.0006
240 0.7511 nan 0.1000 -0.0006
260 0.7456 nan 0.1000 -0.0008
280 0.7435 nan 0.1000 -0.0020
300 0.7416 nan 0.1000 -0.0006
320 0.7363 nan 0.1000 -0.0000
340 0.7325 nan 0.1000 -0.0011
360 0.7305 nan 0.1000 -0.0004
380 0.7279 nan 0.1000 -0.0012
400 0.7254 nan 0.1000 -0.0002
420 0.7219 nan 0.1000 -0.0010
440 0.7173 nan 0.1000 -0.0004
460 0.7148 nan 0.1000 -0.0003
480 0.7121 nan 0.1000 -0.0007
500 0.7101 nan 0.1000 -0.0008
520 0.7089 nan 0.1000 -0.0005
540 0.7062 nan 0.1000 -0.0003
560 0.7042 nan 0.1000 -0.0010
580 0.7038 nan 0.1000 -0.0010
600 0.7025 nan 0.1000 -0.0007
620 0.7003 nan 0.1000 -0.0008
640 0.6995 nan 0.1000 -0.0008
660 0.6962 nan 0.1000 -0.0005
680 0.6935 nan 0.1000 -0.0005
700 0.6917 nan 0.1000 -0.0004
720 0.6891 nan 0.1000 -0.0007
740 0.6878 nan 0.1000 -0.0010
760 0.6871 nan 0.1000 -0.0007
780 0.6848 nan 0.1000 -0.0009
800 0.6832 nan 0.1000 -0.0009
820 0.6818 nan 0.1000 -0.0006
840 0.6798 nan 0.1000 -0.0010
860 0.6786 nan 0.1000 -0.0013
880 0.6772 nan 0.1000 -0.0006
900 0.6745 nan 0.1000 -0.0003
920 0.6724 nan 0.1000 -0.0005
940 0.6715 nan 0.1000 -0.0010
960 0.6700 nan 0.1000 -0.0005
980 0.6691 nan 0.1000 -0.0014
1000 0.6680 nan 0.1000 -0.0010
1020 0.6676 nan 0.1000 -0.0010
1040 0.6666 nan 0.1000 -0.0007
1060 0.6645 nan 0.1000 -0.0003
1080 0.6636 nan 0.1000 -0.0009
1100 0.6631 nan 0.1000 -0.0006
- Fold01.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2623 nan 0.1000 0.0361
2 1.2045 nan 0.1000 0.0272
3 1.1608 nan 0.1000 0.0219
4 1.1168 nan 0.1000 0.0195
5 1.0881 nan 0.1000 0.0142
6 1.0572 nan 0.1000 0.0153
7 1.0321 nan 0.1000 0.0113
8 1.0082 nan 0.1000 0.0087
9 0.9859 nan 0.1000 0.0089
10 0.9682 nan 0.1000 0.0064
20 0.8684 nan 0.1000 0.0007
40 0.8036 nan 0.1000 -0.0011
60 0.7650 nan 0.1000 -0.0001
80 0.7439 nan 0.1000 -0.0013
100 0.7205 nan 0.1000 -0.0007
120 0.7004 nan 0.1000 -0.0005
140 0.6865 nan 0.1000 -0.0006
160 0.6727 nan 0.1000 -0.0003
180 0.6603 nan 0.1000 0.0004
200 0.6498 nan 0.1000 -0.0006
220 0.6400 nan 0.1000 -0.0002
240 0.6295 nan 0.1000 -0.0009
260 0.6215 nan 0.1000 -0.0006
280 0.6142 nan 0.1000 -0.0005
300 0.6038 nan 0.1000 -0.0002
320 0.5975 nan 0.1000 -0.0014
340 0.5894 nan 0.1000 -0.0009
360 0.5838 nan 0.1000 -0.0014
380 0.5793 nan 0.1000 -0.0010
400 0.5700 nan 0.1000 -0.0010
420 0.5630 nan 0.1000 -0.0009
440 0.5557 nan 0.1000 -0.0010
460 0.5500 nan 0.1000 -0.0008
480 0.5440 nan 0.1000 -0.0013
500 0.5369 nan 0.1000 -0.0006
520 0.5329 nan 0.1000 -0.0005
540 0.5299 nan 0.1000 -0.0013
560 0.5239 nan 0.1000 -0.0005
580 0.5182 nan 0.1000 -0.0009
600 0.5119 nan 0.1000 -0.0009
620 0.5055 nan 0.1000 -0.0009
640 0.4996 nan 0.1000 -0.0016
660 0.4944 nan 0.1000 -0.0011
680 0.4899 nan 0.1000 -0.0013
700 0.4863 nan 0.1000 -0.0007
720 0.4806 nan 0.1000 -0.0005
740 0.4771 nan 0.1000 -0.0009
760 0.4719 nan 0.1000 -0.0009
780 0.4684 nan 0.1000 -0.0012
800 0.4643 nan 0.1000 -0.0007
820 0.4592 nan 0.1000 -0.0008
840 0.4549 nan 0.1000 -0.0006
860 0.4510 nan 0.1000 -0.0009
880 0.4460 nan 0.1000 -0.0007
900 0.4426 nan 0.1000 -0.0008
920 0.4376 nan 0.1000 -0.0008
940 0.4340 nan 0.1000 -0.0003
960 0.4311 nan 0.1000 -0.0009
980 0.4271 nan 0.1000 -0.0008
1000 0.4240 nan 0.1000 -0.0010
1020 0.4224 nan 0.1000 -0.0012
1040 0.4190 nan 0.1000 -0.0009
1060 0.4161 nan 0.1000 -0.0007
1080 0.4129 nan 0.1000 -0.0010
1100 0.4095 nan 0.1000 -0.0003
- Fold01.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2529 nan 0.1000 0.0365
2 1.1946 nan 0.1000 0.0267
3 1.1457 nan 0.1000 0.0254
4 1.1055 nan 0.1000 0.0175
5 1.0678 nan 0.1000 0.0170
6 1.0323 nan 0.1000 0.0164
7 1.0029 nan 0.1000 0.0132
8 0.9792 nan 0.1000 0.0098
9 0.9578 nan 0.1000 0.0089
10 0.9411 nan 0.1000 0.0059
20 0.8426 nan 0.1000 0.0018
40 0.7657 nan 0.1000 -0.0003
60 0.7248 nan 0.1000 -0.0021
80 0.6936 nan 0.1000 -0.0012
100 0.6668 nan 0.1000 -0.0005
120 0.6433 nan 0.1000 -0.0003
140 0.6166 nan 0.1000 -0.0013
160 0.5985 nan 0.1000 -0.0028
180 0.5799 nan 0.1000 -0.0009
200 0.5621 nan 0.1000 -0.0004
220 0.5464 nan 0.1000 -0.0019
240 0.5332 nan 0.1000 -0.0009
260 0.5202 nan 0.1000 -0.0025
280 0.5119 nan 0.1000 -0.0014
300 0.4979 nan 0.1000 -0.0006
320 0.4899 nan 0.1000 -0.0016
340 0.4804 nan 0.1000 -0.0006
360 0.4704 nan 0.1000 -0.0018
380 0.4635 nan 0.1000 -0.0006
400 0.4545 nan 0.1000 -0.0008
420 0.4457 nan 0.1000 -0.0008
440 0.4378 nan 0.1000 -0.0023
460 0.4289 nan 0.1000 -0.0013
480 0.4177 nan 0.1000 -0.0012
500 0.4100 nan 0.1000 -0.0014
520 0.4042 nan 0.1000 -0.0010
540 0.3973 nan 0.1000 -0.0010
560 0.3919 nan 0.1000 -0.0011
580 0.3850 nan 0.1000 -0.0008
600 0.3780 nan 0.1000 -0.0009
620 0.3731 nan 0.1000 -0.0013
640 0.3665 nan 0.1000 -0.0014
660 0.3579 nan 0.1000 -0.0004
680 0.3536 nan 0.1000 -0.0011
700 0.3483 nan 0.1000 -0.0007
720 0.3420 nan 0.1000 -0.0011
740 0.3364 nan 0.1000 -0.0004
760 0.3307 nan 0.1000 -0.0007
780 0.3269 nan 0.1000 -0.0007
800 0.3228 nan 0.1000 -0.0006
820 0.3184 nan 0.1000 -0.0009
840 0.3129 nan 0.1000 -0.0010
860 0.3094 nan 0.1000 -0.0008
880 0.3060 nan 0.1000 -0.0009
900 0.3005 nan 0.1000 -0.0011
920 0.2948 nan 0.1000 -0.0007
940 0.2916 nan 0.1000 -0.0008
960 0.2880 nan 0.1000 -0.0003
980 0.2856 nan 0.1000 -0.0004
1000 0.2829 nan 0.1000 -0.0012
1020 0.2797 nan 0.1000 -0.0005
1040 0.2759 nan 0.1000 -0.0010
1060 0.2725 nan 0.1000 -0.0009
1080 0.2691 nan 0.1000 -0.0010
1100 0.2656 nan 0.1000 -0.0003
- Fold01.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3266 nan 0.0100 0.0028
2 1.3213 nan 0.0100 0.0027
3 1.3154 nan 0.0100 0.0028
4 1.3102 nan 0.0100 0.0025
5 1.3047 nan 0.0100 0.0027
6 1.3004 nan 0.0100 0.0025
7 1.2947 nan 0.0100 0.0026
8 1.2899 nan 0.0100 0.0025
9 1.2848 nan 0.0100 0.0025
10 1.2801 nan 0.0100 0.0022
20 1.2344 nan 0.0100 0.0019
40 1.1660 nan 0.0100 0.0014
60 1.1209 nan 0.0100 0.0010
80 1.0862 nan 0.0100 0.0008
100 1.0577 nan 0.0100 0.0006
120 1.0338 nan 0.0100 0.0004
140 1.0133 nan 0.0100 0.0004
160 0.9954 nan 0.0100 0.0003
180 0.9808 nan 0.0100 0.0003
200 0.9679 nan 0.0100 0.0003
220 0.9564 nan 0.0100 0.0002
240 0.9459 nan 0.0100 0.0003
260 0.9363 nan 0.0100 0.0002
280 0.9277 nan 0.0100 0.0001
300 0.9199 nan 0.0100 0.0001
320 0.9125 nan 0.0100 0.0001
340 0.9057 nan 0.0100 0.0001
360 0.8994 nan 0.0100 0.0001
380 0.8935 nan 0.0100 0.0000
400 0.8884 nan 0.0100 0.0001
420 0.8836 nan 0.0100 -0.0000
440 0.8791 nan 0.0100 0.0000
460 0.8747 nan 0.0100 0.0000
480 0.8704 nan 0.0100 0.0000
500 0.8664 nan 0.0100 0.0001
520 0.8629 nan 0.0100 0.0000
540 0.8593 nan 0.0100 -0.0000
560 0.8562 nan 0.0100 0.0000
580 0.8532 nan 0.0100 0.0000
600 0.8501 nan 0.0100 0.0001
620 0.8471 nan 0.0100 0.0000
640 0.8442 nan 0.0100 -0.0000
660 0.8418 nan 0.0100 -0.0001
680 0.8391 nan 0.0100 -0.0001
700 0.8365 nan 0.0100 0.0000
720 0.8341 nan 0.0100 -0.0001
740 0.8319 nan 0.0100 -0.0001
760 0.8296 nan 0.0100 0.0000
780 0.8274 nan 0.0100 0.0000
800 0.8255 nan 0.0100 -0.0000
820 0.8234 nan 0.0100 -0.0000
840 0.8216 nan 0.0100 0.0000
860 0.8199 nan 0.0100 -0.0001
880 0.8178 nan 0.0100 0.0000
900 0.8163 nan 0.0100 -0.0001
920 0.8148 nan 0.0100 -0.0000
940 0.8133 nan 0.0100 -0.0000
960 0.8118 nan 0.0100 -0.0001
980 0.8104 nan 0.0100 -0.0000
1000 0.8089 nan 0.0100 -0.0000
1020 0.8075 nan 0.0100 -0.0000
1040 0.8061 nan 0.0100 -0.0000
1060 0.8047 nan 0.0100 -0.0000
1080 0.8032 nan 0.0100 -0.0000
1100 0.8021 nan 0.0100 -0.0001
- Fold02.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3249 nan 0.0100 0.0033
2 1.3176 nan 0.0100 0.0034
3 1.3106 nan 0.0100 0.0033
4 1.3036 nan 0.0100 0.0034
5 1.2968 nan 0.0100 0.0033
6 1.2899 nan 0.0100 0.0033
7 1.2836 nan 0.0100 0.0031
8 1.2770 nan 0.0100 0.0030
9 1.2710 nan 0.0100 0.0031
10 1.2648 nan 0.0100 0.0030
20 1.2098 nan 0.0100 0.0023
40 1.1244 nan 0.0100 0.0017
60 1.0618 nan 0.0100 0.0011
80 1.0148 nan 0.0100 0.0007
100 0.9805 nan 0.0100 0.0007
120 0.9528 nan 0.0100 0.0005
140 0.9304 nan 0.0100 0.0004
160 0.9120 nan 0.0100 0.0002
180 0.8980 nan 0.0100 0.0000
200 0.8844 nan 0.0100 0.0002
220 0.8730 nan 0.0100 0.0002
240 0.8627 nan 0.0100 0.0001
260 0.8533 nan 0.0100 0.0001
280 0.8444 nan 0.0100 -0.0000
300 0.8367 nan 0.0100 0.0000
320 0.8291 nan 0.0100 0.0001
340 0.8229 nan 0.0100 0.0001
360 0.8168 nan 0.0100 -0.0000
380 0.8110 nan 0.0100 0.0002
400 0.8058 nan 0.0100 0.0001
420 0.8011 nan 0.0100 -0.0001
440 0.7961 nan 0.0100 0.0000
460 0.7918 nan 0.0100 0.0000
480 0.7874 nan 0.0100 -0.0000
500 0.7835 nan 0.0100 -0.0001
520 0.7799 nan 0.0100 -0.0001
540 0.7762 nan 0.0100 -0.0001
560 0.7723 nan 0.0100 0.0000
580 0.7688 nan 0.0100 -0.0000
600 0.7656 nan 0.0100 0.0001
620 0.7627 nan 0.0100 -0.0000
640 0.7591 nan 0.0100 0.0001
660 0.7562 nan 0.0100 -0.0001
680 0.7535 nan 0.0100 0.0000
700 0.7515 nan 0.0100 -0.0001
720 0.7486 nan 0.0100 0.0000
740 0.7463 nan 0.0100 -0.0001
760 0.7439 nan 0.0100 -0.0000
780 0.7414 nan 0.0100 -0.0001
800 0.7390 nan 0.0100 -0.0001
820 0.7369 nan 0.0100 -0.0002
840 0.7343 nan 0.0100 -0.0001
860 0.7321 nan 0.0100 -0.0001
880 0.7301 nan 0.0100 -0.0001
900 0.7280 nan 0.0100 -0.0001
920 0.7257 nan 0.0100 -0.0001
940 0.7233 nan 0.0100 -0.0001
960 0.7212 nan 0.0100 -0.0001
980 0.7197 nan 0.0100 -0.0001
1000 0.7178 nan 0.0100 -0.0001
1020 0.7158 nan 0.0100 -0.0001
1040 0.7141 nan 0.0100 0.0000
1060 0.7121 nan 0.0100 -0.0001
1080 0.7101 nan 0.0100 -0.0001
1100 0.7081 nan 0.0100 -0.0000
- Fold02.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3240 nan 0.0100 0.0037
2 1.3161 nan 0.0100 0.0035
3 1.3082 nan 0.0100 0.0039
4 1.3017 nan 0.0100 0.0033
5 1.2946 nan 0.0100 0.0037
6 1.2871 nan 0.0100 0.0034
7 1.2805 nan 0.0100 0.0034
8 1.2735 nan 0.0100 0.0033
9 1.2670 nan 0.0100 0.0030
10 1.2599 nan 0.0100 0.0034
20 1.1993 nan 0.0100 0.0027
40 1.1043 nan 0.0100 0.0018
60 1.0358 nan 0.0100 0.0015
80 0.9864 nan 0.0100 0.0010
100 0.9489 nan 0.0100 0.0006
120 0.9189 nan 0.0100 0.0004
140 0.8948 nan 0.0100 0.0003
160 0.8750 nan 0.0100 0.0004
180 0.8589 nan 0.0100 0.0002
200 0.8448 nan 0.0100 0.0001
220 0.8322 nan 0.0100 0.0001
240 0.8213 nan 0.0100 0.0000
260 0.8115 nan 0.0100 0.0001
280 0.8031 nan 0.0100 0.0001
300 0.7951 nan 0.0100 -0.0001
320 0.7879 nan 0.0100 -0.0000
340 0.7810 nan 0.0100 -0.0001
360 0.7744 nan 0.0100 0.0000
380 0.7683 nan 0.0100 -0.0001
400 0.7630 nan 0.0100 -0.0001
420 0.7575 nan 0.0100 -0.0000
440 0.7522 nan 0.0100 -0.0001
460 0.7471 nan 0.0100 -0.0002
480 0.7431 nan 0.0100 -0.0001
500 0.7395 nan 0.0100 -0.0001
520 0.7348 nan 0.0100 0.0000
540 0.7307 nan 0.0100 -0.0000
560 0.7267 nan 0.0100 -0.0000
580 0.7230 nan 0.0100 -0.0001
600 0.7183 nan 0.0100 -0.0001
620 0.7149 nan 0.0100 -0.0001
640 0.7110 nan 0.0100 -0.0000
660 0.7074 nan 0.0100 -0.0001
680 0.7039 nan 0.0100 -0.0000
700 0.7007 nan 0.0100 -0.0000
720 0.6978 nan 0.0100 -0.0002
740 0.6943 nan 0.0100 -0.0001
760 0.6909 nan 0.0100 -0.0001
780 0.6882 nan 0.0100 -0.0001
800 0.6849 nan 0.0100 -0.0001
820 0.6825 nan 0.0100 -0.0000
840 0.6799 nan 0.0100 -0.0001
860 0.6767 nan 0.0100 -0.0001
880 0.6741 nan 0.0100 -0.0001
900 0.6717 nan 0.0100 -0.0001
920 0.6691 nan 0.0100 -0.0002
940 0.6665 nan 0.0100 -0.0001
960 0.6639 nan 0.0100 -0.0002
980 0.6616 nan 0.0100 -0.0001
1000 0.6586 nan 0.0100 -0.0001
1020 0.6562 nan 0.0100 -0.0001
1040 0.6536 nan 0.0100 -0.0002
1060 0.6510 nan 0.0100 -0.0001
1080 0.6486 nan 0.0100 -0.0001
1100 0.6461 nan 0.0100 -0.0001
- Fold02.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2745 nan 0.1000 0.0280
2 1.2283 nan 0.1000 0.0224
3 1.1940 nan 0.1000 0.0179
4 1.1637 nan 0.1000 0.0152
5 1.1388 nan 0.1000 0.0123
6 1.1156 nan 0.1000 0.0101
7 1.0995 nan 0.1000 0.0047
8 1.0847 nan 0.1000 0.0071
9 1.0674 nan 0.1000 0.0080
10 1.0545 nan 0.1000 0.0063
20 0.9663 nan 0.1000 0.0024
40 0.8897 nan 0.1000 0.0007
60 0.8516 nan 0.1000 0.0005
80 0.8268 nan 0.1000 -0.0005
100 0.8097 nan 0.1000 -0.0000
120 0.7956 nan 0.1000 -0.0007
140 0.7851 nan 0.1000 -0.0002
160 0.7758 nan 0.1000 -0.0004
180 0.7703 nan 0.1000 -0.0008
200 0.7639 nan 0.1000 -0.0008
220 0.7570 nan 0.1000 -0.0018
240 0.7521 nan 0.1000 -0.0013
260 0.7475 nan 0.1000 -0.0011
280 0.7426 nan 0.1000 -0.0005
300 0.7388 nan 0.1000 -0.0004
320 0.7344 nan 0.1000 -0.0010
340 0.7341 nan 0.1000 -0.0010
360 0.7298 nan 0.1000 -0.0011
380 0.7268 nan 0.1000 -0.0006
400 0.7235 nan 0.1000 -0.0006
420 0.7205 nan 0.1000 -0.0013
440 0.7170 nan 0.1000 -0.0012
460 0.7148 nan 0.1000 -0.0005
480 0.7122 nan 0.1000 -0.0003
500 0.7107 nan 0.1000 -0.0009
520 0.7093 nan 0.1000 -0.0010
540 0.7062 nan 0.1000 -0.0001
560 0.7032 nan 0.1000 -0.0006
580 0.7001 nan 0.1000 -0.0007
600 0.6979 nan 0.1000 -0.0013
620 0.6959 nan 0.1000 -0.0009
640 0.6925 nan 0.1000 -0.0011
660 0.6904 nan 0.1000 -0.0013
680 0.6877 nan 0.1000 -0.0012
700 0.6861 nan 0.1000 -0.0009
720 0.6848 nan 0.1000 -0.0007
740 0.6833 nan 0.1000 -0.0007
760 0.6818 nan 0.1000 -0.0007
780 0.6808 nan 0.1000 -0.0008
800 0.6804 nan 0.1000 -0.0006
820 0.6773 nan 0.1000 -0.0003
840 0.6761 nan 0.1000 -0.0008
860 0.6752 nan 0.1000 -0.0005
880 0.6747 nan 0.1000 -0.0009
900 0.6728 nan 0.1000 -0.0020
920 0.6722 nan 0.1000 -0.0017
940 0.6705 nan 0.1000 -0.0003
960 0.6703 nan 0.1000 -0.0009
980 0.6690 nan 0.1000 -0.0009
1000 0.6690 nan 0.1000 -0.0010
1020 0.6666 nan 0.1000 -0.0009
1040 0.6656 nan 0.1000 -0.0008
1060 0.6648 nan 0.1000 -0.0012
1080 0.6632 nan 0.1000 -0.0011
1100 0.6620 nan 0.1000 -0.0008
- Fold02.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2637 nan 0.1000 0.0349
2 1.2098 nan 0.1000 0.0292
3 1.1585 nan 0.1000 0.0255
4 1.1184 nan 0.1000 0.0195
5 1.0850 nan 0.1000 0.0159
6 1.0561 nan 0.1000 0.0138
7 1.0298 nan 0.1000 0.0103
8 1.0064 nan 0.1000 0.0101
9 0.9875 nan 0.1000 0.0085
10 0.9704 nan 0.1000 0.0066
20 0.8748 nan 0.1000 0.0019
40 0.8001 nan 0.1000 -0.0009
60 0.7601 nan 0.1000 -0.0006
80 0.7387 nan 0.1000 -0.0007
100 0.7192 nan 0.1000 -0.0002
120 0.7004 nan 0.1000 -0.0005
140 0.6841 nan 0.1000 -0.0006
160 0.6731 nan 0.1000 -0.0011
180 0.6598 nan 0.1000 -0.0005
200 0.6448 nan 0.1000 -0.0006
220 0.6328 nan 0.1000 -0.0019
240 0.6233 nan 0.1000 -0.0018
260 0.6160 nan 0.1000 -0.0004
280 0.6060 nan 0.1000 -0.0008
300 0.5973 nan 0.1000 -0.0013
320 0.5890 nan 0.1000 -0.0017
340 0.5805 nan 0.1000 -0.0011
360 0.5705 nan 0.1000 -0.0008
380 0.5635 nan 0.1000 -0.0016
400 0.5587 nan 0.1000 -0.0013
420 0.5527 nan 0.1000 -0.0014
440 0.5448 nan 0.1000 -0.0009
460 0.5376 nan 0.1000 -0.0000
480 0.5297 nan 0.1000 -0.0014
500 0.5236 nan 0.1000 -0.0007
520 0.5180 nan 0.1000 -0.0007
540 0.5133 nan 0.1000 -0.0006
560 0.5093 nan 0.1000 -0.0004
580 0.5041 nan 0.1000 -0.0007
600 0.4980 nan 0.1000 -0.0005
620 0.4937 nan 0.1000 -0.0006
640 0.4901 nan 0.1000 -0.0008
660 0.4841 nan 0.1000 -0.0009
680 0.4809 nan 0.1000 -0.0011
700 0.4766 nan 0.1000 -0.0008
720 0.4726 nan 0.1000 -0.0017
740 0.4681 nan 0.1000 -0.0010
760 0.4651 nan 0.1000 -0.0016
780 0.4602 nan 0.1000 -0.0015
800 0.4561 nan 0.1000 -0.0005
820 0.4508 nan 0.1000 -0.0009
840 0.4472 nan 0.1000 -0.0010
860 0.4437 nan 0.1000 -0.0011
880 0.4389 nan 0.1000 -0.0008
900 0.4340 nan 0.1000 -0.0004
920 0.4307 nan 0.1000 -0.0005
940 0.4268 nan 0.1000 -0.0014
960 0.4232 nan 0.1000 -0.0015
980 0.4197 nan 0.1000 -0.0004
1000 0.4165 nan 0.1000 -0.0011
1020 0.4141 nan 0.1000 -0.0008
1040 0.4121 nan 0.1000 -0.0007
1060 0.4087 nan 0.1000 -0.0011
1080 0.4047 nan 0.1000 -0.0008
1100 0.4011 nan 0.1000 -0.0007
- Fold02.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2600 nan 0.1000 0.0403
2 1.1966 nan 0.1000 0.0295
3 1.1419 nan 0.1000 0.0257
4 1.0978 nan 0.1000 0.0216
5 1.0621 nan 0.1000 0.0168
6 1.0325 nan 0.1000 0.0136
7 1.0095 nan 0.1000 0.0108
8 0.9851 nan 0.1000 0.0119
9 0.9640 nan 0.1000 0.0093
10 0.9459 nan 0.1000 0.0076
20 0.8482 nan 0.1000 0.0024
40 0.7694 nan 0.1000 -0.0010
60 0.7193 nan 0.1000 0.0002
80 0.6885 nan 0.1000 -0.0013
100 0.6614 nan 0.1000 -0.0009
120 0.6381 nan 0.1000 -0.0013
140 0.6167 nan 0.1000 -0.0014
160 0.5985 nan 0.1000 -0.0012
180 0.5792 nan 0.1000 -0.0011
200 0.5638 nan 0.1000 -0.0020
220 0.5498 nan 0.1000 -0.0011
240 0.5355 nan 0.1000 -0.0007
260 0.5168 nan 0.1000 -0.0011
280 0.5056 nan 0.1000 -0.0015
300 0.4947 nan 0.1000 -0.0015
320 0.4840 nan 0.1000 -0.0021
340 0.4758 nan 0.1000 -0.0011
360 0.4658 nan 0.1000 -0.0009
380 0.4552 nan 0.1000 -0.0005
400 0.4471 nan 0.1000 -0.0010
420 0.4389 nan 0.1000 -0.0009
440 0.4318 nan 0.1000 -0.0006
460 0.4246 nan 0.1000 -0.0010
480 0.4168 nan 0.1000 -0.0014
500 0.4105 nan 0.1000 -0.0011
520 0.4032 nan 0.1000 -0.0007
540 0.3977 nan 0.1000 -0.0020
560 0.3921 nan 0.1000 -0.0009
580 0.3855 nan 0.1000 -0.0009
600 0.3791 nan 0.1000 -0.0010
620 0.3721 nan 0.1000 -0.0013
640 0.3672 nan 0.1000 -0.0009
660 0.3612 nan 0.1000 -0.0010
680 0.3571 nan 0.1000 -0.0009
700 0.3515 nan 0.1000 -0.0004
720 0.3457 nan 0.1000 -0.0012
740 0.3386 nan 0.1000 -0.0011
760 0.3344 nan 0.1000 -0.0013
780 0.3306 nan 0.1000 -0.0006
800 0.3257 nan 0.1000 -0.0010
820 0.3218 nan 0.1000 -0.0004
840 0.3162 nan 0.1000 -0.0006
860 0.3127 nan 0.1000 -0.0009
880 0.3097 nan 0.1000 -0.0006
900 0.3052 nan 0.1000 -0.0007
920 0.3018 nan 0.1000 -0.0010
940 0.2957 nan 0.1000 -0.0013
960 0.2920 nan 0.1000 -0.0005
980 0.2889 nan 0.1000 -0.0005
1000 0.2852 nan 0.1000 -0.0007
1020 0.2817 nan 0.1000 -0.0009
1040 0.2795 nan 0.1000 -0.0010
1060 0.2740 nan 0.1000 -0.0012
1080 0.2700 nan 0.1000 -0.0005
1100 0.2655 nan 0.1000 -0.0009
- Fold02.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3257 nan 0.0100 0.0030
2 1.3199 nan 0.0100 0.0028
3 1.3139 nan 0.0100 0.0029
4 1.3083 nan 0.0100 0.0027
5 1.3032 nan 0.0100 0.0027
6 1.2972 nan 0.0100 0.0025
7 1.2916 nan 0.0100 0.0024
8 1.2861 nan 0.0100 0.0023
9 1.2811 nan 0.0100 0.0025
10 1.2764 nan 0.0100 0.0024
20 1.2320 nan 0.0100 0.0020
40 1.1657 nan 0.0100 0.0014
60 1.1192 nan 0.0100 0.0010
80 1.0830 nan 0.0100 0.0007
100 1.0520 nan 0.0100 0.0005
120 1.0268 nan 0.0100 0.0004
140 1.0058 nan 0.0100 0.0004
160 0.9881 nan 0.0100 0.0003
180 0.9723 nan 0.0100 0.0002
200 0.9587 nan 0.0100 0.0003
220 0.9474 nan 0.0100 0.0000
240 0.9368 nan 0.0100 0.0002
260 0.9275 nan 0.0100 0.0001
280 0.9193 nan 0.0100 -0.0000
300 0.9120 nan 0.0100 0.0001
320 0.9053 nan 0.0100 0.0001
340 0.8989 nan 0.0100 0.0001
360 0.8928 nan 0.0100 0.0001
380 0.8880 nan 0.0100 0.0000
400 0.8826 nan 0.0100 0.0001
420 0.8771 nan 0.0100 0.0001
440 0.8724 nan 0.0100 0.0000
460 0.8678 nan 0.0100 0.0000
480 0.8637 nan 0.0100 0.0001
500 0.8599 nan 0.0100 -0.0000
520 0.8563 nan 0.0100 -0.0001
540 0.8525 nan 0.0100 -0.0000
560 0.8490 nan 0.0100 -0.0000
580 0.8457 nan 0.0100 0.0000
600 0.8427 nan 0.0100 0.0000
620 0.8399 nan 0.0100 0.0000
640 0.8372 nan 0.0100 -0.0000
660 0.8341 nan 0.0100 0.0000
680 0.8313 nan 0.0100 0.0000
700 0.8285 nan 0.0100 0.0000
720 0.8259 nan 0.0100 -0.0000
740 0.8235 nan 0.0100 -0.0000
760 0.8213 nan 0.0100 0.0000
780 0.8192 nan 0.0100 -0.0000
800 0.8168 nan 0.0100 -0.0000
820 0.8151 nan 0.0100 -0.0001
840 0.8131 nan 0.0100 -0.0000
860 0.8110 nan 0.0100 -0.0000
880 0.8093 nan 0.0100 -0.0001
900 0.8076 nan 0.0100 -0.0001
920 0.8060 nan 0.0100 -0.0000
940 0.8045 nan 0.0100 0.0000
960 0.8029 nan 0.0100 -0.0000
980 0.8013 nan 0.0100 -0.0000
1000 0.7998 nan 0.0100 -0.0000
1020 0.7984 nan 0.0100 -0.0001
1040 0.7968 nan 0.0100 -0.0000
1060 0.7953 nan 0.0100 -0.0000
1080 0.7939 nan 0.0100 -0.0000
1100 0.7924 nan 0.0100 0.0000
- Fold03.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3249 nan 0.0100 0.0036
2 1.3185 nan 0.0100 0.0033
3 1.3111 nan 0.0100 0.0034
4 1.3041 nan 0.0100 0.0034
5 1.2974 nan 0.0100 0.0033
6 1.2910 nan 0.0100 0.0033
7 1.2841 nan 0.0100 0.0032
8 1.2779 nan 0.0100 0.0033
9 1.2719 nan 0.0100 0.0029
10 1.2656 nan 0.0100 0.0032
20 1.2100 nan 0.0100 0.0025
40 1.1234 nan 0.0100 0.0018
60 1.0582 nan 0.0100 0.0012
80 1.0108 nan 0.0100 0.0009
100 0.9728 nan 0.0100 0.0007
120 0.9453 nan 0.0100 0.0005
140 0.9225 nan 0.0100 0.0004
160 0.9042 nan 0.0100 0.0004
180 0.8883 nan 0.0100 0.0003
200 0.8749 nan 0.0100 0.0003
220 0.8643 nan 0.0100 0.0001
240 0.8545 nan 0.0100 0.0000
260 0.8442 nan 0.0100 0.0000
280 0.8360 nan 0.0100 -0.0000
300 0.8279 nan 0.0100 0.0001
320 0.8209 nan 0.0100 -0.0000
340 0.8145 nan 0.0100 0.0001
360 0.8086 nan 0.0100 0.0001
380 0.8031 nan 0.0100 -0.0000
400 0.7979 nan 0.0100 -0.0001
420 0.7931 nan 0.0100 -0.0001
440 0.7887 nan 0.0100 -0.0001
460 0.7842 nan 0.0100 -0.0001
480 0.7804 nan 0.0100 -0.0000
500 0.7766 nan 0.0100 -0.0001
520 0.7724 nan 0.0100 -0.0000
540 0.7692 nan 0.0100 -0.0000
560 0.7658 nan 0.0100 -0.0000
580 0.7628 nan 0.0100 -0.0001
600 0.7599 nan 0.0100 -0.0000
620 0.7567 nan 0.0100 0.0000
640 0.7536 nan 0.0100 -0.0000
660 0.7512 nan 0.0100 -0.0000
680 0.7487 nan 0.0100 0.0000
700 0.7464 nan 0.0100 -0.0002
720 0.7436 nan 0.0100 -0.0001
740 0.7408 nan 0.0100 -0.0001
760 0.7387 nan 0.0100 -0.0001
780 0.7363 nan 0.0100 -0.0000
800 0.7333 nan 0.0100 -0.0001
820 0.7310 nan 0.0100 -0.0001
840 0.7284 nan 0.0100 -0.0002
860 0.7261 nan 0.0100 0.0000
880 0.7237 nan 0.0100 0.0000
900 0.7213 nan 0.0100 -0.0001
920 0.7187 nan 0.0100 -0.0000
940 0.7163 nan 0.0100 -0.0000
960 0.7141 nan 0.0100 -0.0001
980 0.7124 nan 0.0100 -0.0000
1000 0.7103 nan 0.0100 -0.0001
1020 0.7085 nan 0.0100 -0.0001
1040 0.7064 nan 0.0100 -0.0001
1060 0.7043 nan 0.0100 -0.0000
1080 0.7026 nan 0.0100 -0.0001
1100 0.7001 nan 0.0100 -0.0000
- Fold03.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3243 nan 0.0100 0.0040
2 1.3163 nan 0.0100 0.0041
3 1.3080 nan 0.0100 0.0039
4 1.3005 nan 0.0100 0.0036
5 1.2936 nan 0.0100 0.0033
6 1.2861 nan 0.0100 0.0035
7 1.2789 nan 0.0100 0.0035
8 1.2721 nan 0.0100 0.0032
9 1.2651 nan 0.0100 0.0033
10 1.2585 nan 0.0100 0.0033
20 1.1980 nan 0.0100 0.0029
40 1.1035 nan 0.0100 0.0020
60 1.0327 nan 0.0100 0.0015
80 0.9809 nan 0.0100 0.0011
100 0.9408 nan 0.0100 0.0007
120 0.9093 nan 0.0100 0.0005
140 0.8862 nan 0.0100 0.0002
160 0.8670 nan 0.0100 0.0001
180 0.8494 nan 0.0100 0.0003
200 0.8355 nan 0.0100 0.0002
220 0.8234 nan 0.0100 -0.0001
240 0.8125 nan 0.0100 0.0000
260 0.8029 nan 0.0100 -0.0001
280 0.7937 nan 0.0100 0.0001
300 0.7861 nan 0.0100 -0.0000
320 0.7788 nan 0.0100 -0.0001
340 0.7728 nan 0.0100 -0.0001
360 0.7667 nan 0.0100 0.0000
380 0.7600 nan 0.0100 -0.0001
400 0.7546 nan 0.0100 -0.0001
420 0.7487 nan 0.0100 0.0000
440 0.7436 nan 0.0100 0.0001
460 0.7393 nan 0.0100 -0.0002
480 0.7341 nan 0.0100 -0.0000
500 0.7293 nan 0.0100 -0.0002
520 0.7256 nan 0.0100 -0.0000
540 0.7209 nan 0.0100 -0.0001
560 0.7175 nan 0.0100 -0.0001
580 0.7138 nan 0.0100 -0.0001
600 0.7097 nan 0.0100 -0.0000
620 0.7061 nan 0.0100 -0.0000
640 0.7027 nan 0.0100 -0.0002
660 0.6993 nan 0.0100 -0.0000
680 0.6957 nan 0.0100 -0.0000
700 0.6921 nan 0.0100 -0.0002
720 0.6888 nan 0.0100 -0.0001
740 0.6860 nan 0.0100 -0.0002
760 0.6826 nan 0.0100 -0.0001
780 0.6794 nan 0.0100 -0.0001
800 0.6762 nan 0.0100 -0.0001
820 0.6738 nan 0.0100 -0.0001
840 0.6708 nan 0.0100 -0.0001
860 0.6673 nan 0.0100 -0.0001
880 0.6644 nan 0.0100 -0.0001
900 0.6615 nan 0.0100 -0.0001
920 0.6587 nan 0.0100 0.0000
940 0.6561 nan 0.0100 -0.0001
960 0.6538 nan 0.0100 -0.0001
980 0.6511 nan 0.0100 -0.0000
1000 0.6481 nan 0.0100 -0.0001
1020 0.6456 nan 0.0100 -0.0001
1040 0.6433 nan 0.0100 -0.0001
1060 0.6405 nan 0.0100 -0.0002
1080 0.6382 nan 0.0100 0.0000
1100 0.6357 nan 0.0100 -0.0002
- Fold03.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2679 nan 0.1000 0.0253
2 1.2214 nan 0.1000 0.0214
3 1.1860 nan 0.1000 0.0177
4 1.1562 nan 0.1000 0.0141
5 1.1279 nan 0.1000 0.0117
6 1.1079 nan 0.1000 0.0088
7 1.0883 nan 0.1000 0.0085
8 1.0718 nan 0.1000 0.0064
9 1.0558 nan 0.1000 0.0076
10 1.0408 nan 0.1000 0.0061
20 0.9513 nan 0.1000 0.0018
40 0.8757 nan 0.1000 0.0005
60 0.8382 nan 0.1000 -0.0003
80 0.8153 nan 0.1000 0.0000
100 0.7975 nan 0.1000 -0.0004
120 0.7847 nan 0.1000 -0.0014
140 0.7744 nan 0.1000 -0.0006
160 0.7648 nan 0.1000 -0.0002
180 0.7554 nan 0.1000 -0.0011
200 0.7507 nan 0.1000 -0.0008
220 0.7446 nan 0.1000 -0.0012
240 0.7395 nan 0.1000 -0.0010
260 0.7340 nan 0.1000 -0.0003
280 0.7304 nan 0.1000 -0.0004
300 0.7266 nan 0.1000 -0.0005
320 0.7210 nan 0.1000 -0.0006
340 0.7163 nan 0.1000 -0.0009
360 0.7121 nan 0.1000 -0.0005
380 0.7079 nan 0.1000 -0.0006
400 0.7065 nan 0.1000 -0.0008
420 0.7028 nan 0.1000 -0.0001
440 0.6993 nan 0.1000 -0.0005
460 0.6957 nan 0.1000 -0.0016
480 0.6922 nan 0.1000 -0.0010
500 0.6902 nan 0.1000 -0.0001
520 0.6866 nan 0.1000 -0.0002
540 0.6849 nan 0.1000 -0.0010
560 0.6830 nan 0.1000 -0.0010
580 0.6824 nan 0.1000 -0.0011
600 0.6802 nan 0.1000 -0.0007
620 0.6789 nan 0.1000 -0.0003
640 0.6763 nan 0.1000 -0.0009
660 0.6735 nan 0.1000 -0.0007
680 0.6710 nan 0.1000 -0.0008
700 0.6691 nan 0.1000 -0.0006
720 0.6677 nan 0.1000 -0.0005
740 0.6648 nan 0.1000 -0.0011
760 0.6630 nan 0.1000 -0.0013
780 0.6620 nan 0.1000 -0.0012
800 0.6592 nan 0.1000 -0.0003
820 0.6572 nan 0.1000 -0.0005
840 0.6559 nan 0.1000 -0.0016
860 0.6540 nan 0.1000 -0.0006
880 0.6531 nan 0.1000 -0.0012
900 0.6520 nan 0.1000 -0.0007
920 0.6500 nan 0.1000 -0.0008
940 0.6475 nan 0.1000 -0.0008
960 0.6461 nan 0.1000 -0.0005
980 0.6446 nan 0.1000 -0.0006
1000 0.6443 nan 0.1000 -0.0010
1020 0.6428 nan 0.1000 -0.0004
1040 0.6419 nan 0.1000 -0.0008
1060 0.6401 nan 0.1000 -0.0006
1080 0.6383 nan 0.1000 -0.0009
1100 0.6372 nan 0.1000 -0.0006
- Fold03.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2657 nan 0.1000 0.0334
2 1.2089 nan 0.1000 0.0261
3 1.1568 nan 0.1000 0.0248
4 1.1152 nan 0.1000 0.0200
5 1.0793 nan 0.1000 0.0160
6 1.0506 nan 0.1000 0.0134
7 1.0244 nan 0.1000 0.0117
8 1.0018 nan 0.1000 0.0099
9 0.9843 nan 0.1000 0.0083
10 0.9665 nan 0.1000 0.0075
20 0.8704 nan 0.1000 0.0022
40 0.8025 nan 0.1000 -0.0011
60 0.7633 nan 0.1000 -0.0009
80 0.7358 nan 0.1000 -0.0008
100 0.7168 nan 0.1000 -0.0004
120 0.7013 nan 0.1000 -0.0011
140 0.6864 nan 0.1000 -0.0011
160 0.6708 nan 0.1000 -0.0017
180 0.6534 nan 0.1000 -0.0007
200 0.6380 nan 0.1000 -0.0009
220 0.6267 nan 0.1000 -0.0012
240 0.6157 nan 0.1000 -0.0010
260 0.6074 nan 0.1000 -0.0020
280 0.5978 nan 0.1000 -0.0007
300 0.5853 nan 0.1000 -0.0012
320 0.5766 nan 0.1000 -0.0013
340 0.5675 nan 0.1000 -0.0011
360 0.5608 nan 0.1000 -0.0015
380 0.5558 nan 0.1000 -0.0016
400 0.5473 nan 0.1000 -0.0019
420 0.5393 nan 0.1000 -0.0008
440 0.5336 nan 0.1000 -0.0020
460 0.5244 nan 0.1000 -0.0003
480 0.5188 nan 0.1000 -0.0011
500 0.5124 nan 0.1000 -0.0014
520 0.5087 nan 0.1000 -0.0008
540 0.5022 nan 0.1000 -0.0019
560 0.4980 nan 0.1000 -0.0011
580 0.4928 nan 0.1000 -0.0002
600 0.4856 nan 0.1000 -0.0007
620 0.4797 nan 0.1000 -0.0007
640 0.4747 nan 0.1000 -0.0004
660 0.4689 nan 0.1000 -0.0007
680 0.4641 nan 0.1000 -0.0007
700 0.4600 nan 0.1000 -0.0007
720 0.4539 nan 0.1000 -0.0004
740 0.4491 nan 0.1000 -0.0008
760 0.4438 nan 0.1000 -0.0010
780 0.4398 nan 0.1000 -0.0006
800 0.4356 nan 0.1000 -0.0011
820 0.4314 nan 0.1000 -0.0003
840 0.4282 nan 0.1000 -0.0016
860 0.4235 nan 0.1000 -0.0004
880 0.4181 nan 0.1000 -0.0008
900 0.4140 nan 0.1000 -0.0014
920 0.4101 nan 0.1000 -0.0002
940 0.4059 nan 0.1000 -0.0008
960 0.4024 nan 0.1000 -0.0004
980 0.3996 nan 0.1000 -0.0005
1000 0.3962 nan 0.1000 -0.0015
1020 0.3923 nan 0.1000 -0.0007
1040 0.3895 nan 0.1000 -0.0004
1060 0.3871 nan 0.1000 -0.0008
1080 0.3855 nan 0.1000 -0.0009
1100 0.3828 nan 0.1000 -0.0005
- Fold03.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2545 nan 0.1000 0.0374
2 1.1936 nan 0.1000 0.0287
3 1.1410 nan 0.1000 0.0267
4 1.0957 nan 0.1000 0.0220
5 1.0568 nan 0.1000 0.0175
6 1.0229 nan 0.1000 0.0151
7 0.9975 nan 0.1000 0.0120
8 0.9746 nan 0.1000 0.0103
9 0.9539 nan 0.1000 0.0091
10 0.9380 nan 0.1000 0.0059
20 0.8430 nan 0.1000 0.0012
40 0.7663 nan 0.1000 -0.0005
60 0.7207 nan 0.1000 -0.0009
80 0.6815 nan 0.1000 -0.0005
100 0.6582 nan 0.1000 -0.0014
120 0.6335 nan 0.1000 -0.0013
140 0.6090 nan 0.1000 -0.0012
160 0.5931 nan 0.1000 -0.0016
180 0.5726 nan 0.1000 -0.0012
200 0.5563 nan 0.1000 -0.0011
220 0.5412 nan 0.1000 -0.0008
240 0.5248 nan 0.1000 -0.0010
260 0.5071 nan 0.1000 -0.0013
280 0.4964 nan 0.1000 -0.0010
300 0.4854 nan 0.1000 -0.0013
320 0.4733 nan 0.1000 -0.0016
340 0.4623 nan 0.1000 -0.0009
360 0.4527 nan 0.1000 -0.0003
380 0.4439 nan 0.1000 -0.0013
400 0.4341 nan 0.1000 -0.0005
420 0.4265 nan 0.1000 -0.0016
440 0.4181 nan 0.1000 -0.0014
460 0.4135 nan 0.1000 -0.0012
480 0.4073 nan 0.1000 -0.0011
500 0.3984 nan 0.1000 -0.0012
520 0.3895 nan 0.1000 -0.0009
540 0.3833 nan 0.1000 -0.0008
560 0.3754 nan 0.1000 -0.0008
580 0.3679 nan 0.1000 -0.0010
600 0.3622 nan 0.1000 -0.0007
620 0.3562 nan 0.1000 -0.0009
640 0.3504 nan 0.1000 -0.0013
660 0.3450 nan 0.1000 -0.0007
680 0.3403 nan 0.1000 -0.0014
700 0.3342 nan 0.1000 -0.0007
720 0.3306 nan 0.1000 -0.0005
740 0.3253 nan 0.1000 -0.0010
760 0.3215 nan 0.1000 -0.0004
780 0.3162 nan 0.1000 -0.0019
800 0.3097 nan 0.1000 -0.0002
820 0.3053 nan 0.1000 -0.0006
840 0.3012 nan 0.1000 -0.0018
860 0.2968 nan 0.1000 -0.0009
880 0.2920 nan 0.1000 -0.0008
900 0.2878 nan 0.1000 -0.0004
920 0.2842 nan 0.1000 -0.0009
940 0.2805 nan 0.1000 -0.0006
960 0.2765 nan 0.1000 -0.0007
980 0.2744 nan 0.1000 -0.0005
1000 0.2700 nan 0.1000 -0.0005
1020 0.2667 nan 0.1000 -0.0009
1040 0.2636 nan 0.1000 -0.0015
1060 0.2596 nan 0.1000 -0.0008
1080 0.2554 nan 0.1000 -0.0006
1100 0.2527 nan 0.1000 -0.0004
- Fold03.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3252 nan 0.0100 0.0031
2 1.3195 nan 0.0100 0.0031
3 1.3132 nan 0.0100 0.0030
4 1.3075 nan 0.0100 0.0030
5 1.3019 nan 0.0100 0.0029
6 1.2959 nan 0.0100 0.0028
7 1.2902 nan 0.0100 0.0028
8 1.2844 nan 0.0100 0.0027
9 1.2795 nan 0.0100 0.0027
10 1.2742 nan 0.0100 0.0025
20 1.2254 nan 0.0100 0.0022
40 1.1533 nan 0.0100 0.0015
60 1.1019 nan 0.0100 0.0011
80 1.0638 nan 0.0100 0.0007
100 1.0347 nan 0.0100 0.0006
120 1.0104 nan 0.0100 0.0005
140 0.9891 nan 0.0100 0.0004
160 0.9716 nan 0.0100 0.0004
180 0.9567 nan 0.0100 0.0003
200 0.9429 nan 0.0100 0.0002
220 0.9311 nan 0.0100 0.0002
240 0.9199 nan 0.0100 0.0001
260 0.9102 nan 0.0100 0.0002
280 0.9024 nan 0.0100 0.0000
300 0.8947 nan 0.0100 0.0001
320 0.8879 nan 0.0100 0.0001
340 0.8816 nan 0.0100 0.0001
360 0.8759 nan 0.0100 0.0001
380 0.8701 nan 0.0100 0.0001
400 0.8649 nan 0.0100 0.0001
420 0.8600 nan 0.0100 0.0001
440 0.8552 nan 0.0100 0.0001
460 0.8511 nan 0.0100 0.0000
480 0.8470 nan 0.0100 -0.0000
500 0.8431 nan 0.0100 0.0000
520 0.8397 nan 0.0100 -0.0001
540 0.8361 nan 0.0100 0.0000
560 0.8327 nan 0.0100 0.0000
580 0.8295 nan 0.0100 0.0000
600 0.8263 nan 0.0100 0.0000
620 0.8236 nan 0.0100 0.0000
640 0.8207 nan 0.0100 -0.0000
660 0.8184 nan 0.0100 -0.0000
680 0.8157 nan 0.0100 -0.0001
700 0.8131 nan 0.0100 0.0000
720 0.8108 nan 0.0100 -0.0000
740 0.8085 nan 0.0100 -0.0001
760 0.8063 nan 0.0100 -0.0001
780 0.8042 nan 0.0100 -0.0000
800 0.8022 nan 0.0100 -0.0000
820 0.8001 nan 0.0100 -0.0000
840 0.7982 nan 0.0100 0.0000
860 0.7963 nan 0.0100 -0.0000
880 0.7944 nan 0.0100 -0.0001
900 0.7926 nan 0.0100 0.0000
920 0.7910 nan 0.0100 0.0000
940 0.7892 nan 0.0100 -0.0000
960 0.7875 nan 0.0100 0.0000
980 0.7858 nan 0.0100 -0.0000
1000 0.7843 nan 0.0100 0.0000
1020 0.7829 nan 0.0100 -0.0001
1040 0.7814 nan 0.0100 -0.0000
1060 0.7801 nan 0.0100 -0.0000
1080 0.7787 nan 0.0100 -0.0001
1100 0.7776 nan 0.0100 -0.0001
- Fold04.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3243 nan 0.0100 0.0039
2 1.3163 nan 0.0100 0.0037
3 1.3085 nan 0.0100 0.0040
4 1.3013 nan 0.0100 0.0035
5 1.2942 nan 0.0100 0.0036
6 1.2869 nan 0.0100 0.0035
7 1.2801 nan 0.0100 0.0033
8 1.2735 nan 0.0100 0.0033
9 1.2674 nan 0.0100 0.0036
10 1.2606 nan 0.0100 0.0033
20 1.2010 nan 0.0100 0.0025
40 1.1097 nan 0.0100 0.0019
60 1.0438 nan 0.0100 0.0013
80 0.9936 nan 0.0100 0.0008
100 0.9567 nan 0.0100 0.0008
120 0.9278 nan 0.0100 0.0007
140 0.9040 nan 0.0100 0.0005
160 0.8864 nan 0.0100 0.0002
180 0.8716 nan 0.0100 0.0003
200 0.8583 nan 0.0100 0.0001
220 0.8473 nan 0.0100 0.0001
240 0.8373 nan 0.0100 0.0001
260 0.8279 nan 0.0100 0.0002
280 0.8198 nan 0.0100 -0.0000
300 0.8112 nan 0.0100 0.0001
320 0.8044 nan 0.0100 0.0002
340 0.7986 nan 0.0100 -0.0000
360 0.7931 nan 0.0100 -0.0001
380 0.7876 nan 0.0100 -0.0000
400 0.7830 nan 0.0100 0.0000
420 0.7781 nan 0.0100 -0.0001
440 0.7732 nan 0.0100 -0.0000
460 0.7687 nan 0.0100 0.0001
480 0.7649 nan 0.0100 -0.0001
500 0.7612 nan 0.0100 -0.0001
520 0.7576 nan 0.0100 -0.0001
540 0.7540 nan 0.0100 0.0000
560 0.7503 nan 0.0100 -0.0002
580 0.7471 nan 0.0100 -0.0001
600 0.7441 nan 0.0100 -0.0001
620 0.7409 nan 0.0100 -0.0001
640 0.7381 nan 0.0100 -0.0001
660 0.7355 nan 0.0100 -0.0000
680 0.7329 nan 0.0100 -0.0001
700 0.7308 nan 0.0100 -0.0001
720 0.7286 nan 0.0100 -0.0001
740 0.7255 nan 0.0100 -0.0001
760 0.7232 nan 0.0100 -0.0001
780 0.7212 nan 0.0100 -0.0001
800 0.7189 nan 0.0100 -0.0000
820 0.7167 nan 0.0100 -0.0001
840 0.7143 nan 0.0100 -0.0000
860 0.7124 nan 0.0100 -0.0002
880 0.7102 nan 0.0100 -0.0000
900 0.7082 nan 0.0100 -0.0001
920 0.7060 nan 0.0100 -0.0002
940 0.7042 nan 0.0100 -0.0001
960 0.7019 nan 0.0100 -0.0000
980 0.7000 nan 0.0100 -0.0002
1000 0.6984 nan 0.0100 -0.0001
1020 0.6963 nan 0.0100 -0.0001
1040 0.6944 nan 0.0100 -0.0001
1060 0.6925 nan 0.0100 -0.0001
1080 0.6906 nan 0.0100 -0.0001
1100 0.6887 nan 0.0100 -0.0001
- Fold04.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3233 nan 0.0100 0.0043
2 1.3148 nan 0.0100 0.0040
3 1.3068 nan 0.0100 0.0040
4 1.2989 nan 0.0100 0.0041
5 1.2913 nan 0.0100 0.0036
6 1.2838 nan 0.0100 0.0037
7 1.2758 nan 0.0100 0.0036
8 1.2687 nan 0.0100 0.0036
9 1.2618 nan 0.0100 0.0035
10 1.2548 nan 0.0100 0.0034
20 1.1919 nan 0.0100 0.0028
40 1.0919 nan 0.0100 0.0020
60 1.0194 nan 0.0100 0.0013
80 0.9651 nan 0.0100 0.0010
100 0.9236 nan 0.0100 0.0008
120 0.8929 nan 0.0100 0.0005
140 0.8693 nan 0.0100 0.0003
160 0.8510 nan 0.0100 0.0003
180 0.8338 nan 0.0100 0.0002
200 0.8193 nan 0.0100 -0.0001
220 0.8072 nan 0.0100 0.0002
240 0.7967 nan 0.0100 0.0001
260 0.7873 nan 0.0100 0.0000
280 0.7786 nan 0.0100 -0.0000
300 0.7711 nan 0.0100 -0.0000
320 0.7648 nan 0.0100 0.0000
340 0.7578 nan 0.0100 -0.0001
360 0.7526 nan 0.0100 -0.0001
380 0.7465 nan 0.0100 -0.0000
400 0.7407 nan 0.0100 0.0000
420 0.7345 nan 0.0100 -0.0000
440 0.7295 nan 0.0100 -0.0001
460 0.7255 nan 0.0100 -0.0001
480 0.7213 nan 0.0100 -0.0000
500 0.7171 nan 0.0100 -0.0000
520 0.7128 nan 0.0100 -0.0000
540 0.7092 nan 0.0100 -0.0000
560 0.7053 nan 0.0100 -0.0000
580 0.7020 nan 0.0100 -0.0003
600 0.6984 nan 0.0100 -0.0001
620 0.6944 nan 0.0100 -0.0001
640 0.6913 nan 0.0100 -0.0001
660 0.6881 nan 0.0100 -0.0001
680 0.6849 nan 0.0100 -0.0000
700 0.6817 nan 0.0100 -0.0002
720 0.6785 nan 0.0100 -0.0001
740 0.6753 nan 0.0100 -0.0001
760 0.6725 nan 0.0100 -0.0001
780 0.6698 nan 0.0100 -0.0001
800 0.6669 nan 0.0100 -0.0001
820 0.6641 nan 0.0100 -0.0001
840 0.6612 nan 0.0100 -0.0001
860 0.6581 nan 0.0100 -0.0001
880 0.6553 nan 0.0100 0.0000
900 0.6526 nan 0.0100 -0.0001
920 0.6501 nan 0.0100 -0.0001
940 0.6475 nan 0.0100 -0.0001
960 0.6450 nan 0.0100 -0.0001
980 0.6426 nan 0.0100 -0.0001
1000 0.6402 nan 0.0100 -0.0001
1020 0.6377 nan 0.0100 -0.0001
1040 0.6355 nan 0.0100 -0.0002
1060 0.6332 nan 0.0100 -0.0001
1080 0.6311 nan 0.0100 -0.0001
1100 0.6288 nan 0.0100 -0.0001
- Fold04.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2640 nan 0.1000 0.0289
2 1.2160 nan 0.1000 0.0233
3 1.1763 nan 0.1000 0.0187
4 1.1439 nan 0.1000 0.0161
5 1.1147 nan 0.1000 0.0131
6 1.0936 nan 0.1000 0.0109
7 1.0742 nan 0.1000 0.0085
8 1.0586 nan 0.1000 0.0078
9 1.0417 nan 0.1000 0.0077
10 1.0288 nan 0.1000 0.0058
20 0.9371 nan 0.1000 0.0022
40 0.8646 nan 0.1000 -0.0000
60 0.8273 nan 0.1000 0.0000
80 0.8006 nan 0.1000 -0.0010
100 0.7857 nan 0.1000 -0.0020
120 0.7728 nan 0.1000 -0.0001
140 0.7627 nan 0.1000 -0.0007
160 0.7517 nan 0.1000 -0.0004
180 0.7446 nan 0.1000 -0.0012
200 0.7373 nan 0.1000 -0.0002
220 0.7333 nan 0.1000 -0.0010
240 0.7284 nan 0.1000 -0.0007
260 0.7238 nan 0.1000 -0.0005
280 0.7191 nan 0.1000 -0.0005
300 0.7150 nan 0.1000 -0.0003
320 0.7119 nan 0.1000 -0.0008
340 0.7082 nan 0.1000 -0.0007
360 0.7055 nan 0.1000 -0.0009
380 0.7020 nan 0.1000 -0.0006
400 0.6993 nan 0.1000 -0.0018
420 0.6970 nan 0.1000 -0.0023
440 0.6934 nan 0.1000 -0.0006
460 0.6911 nan 0.1000 -0.0010
480 0.6885 nan 0.1000 -0.0005
500 0.6870 nan 0.1000 -0.0002
520 0.6847 nan 0.1000 -0.0007
540 0.6840 nan 0.1000 -0.0012
560 0.6817 nan 0.1000 -0.0005
580 0.6800 nan 0.1000 -0.0007
600 0.6781 nan 0.1000 -0.0006
620 0.6761 nan 0.1000 -0.0006
640 0.6753 nan 0.1000 -0.0011
660 0.6736 nan 0.1000 -0.0005
680 0.6725 nan 0.1000 -0.0006
700 0.6701 nan 0.1000 -0.0010
720 0.6672 nan 0.1000 -0.0007
740 0.6662 nan 0.1000 -0.0022
760 0.6649 nan 0.1000 -0.0009
780 0.6638 nan 0.1000 -0.0008
800 0.6607 nan 0.1000 -0.0006
820 0.6585 nan 0.1000 -0.0005
840 0.6570 nan 0.1000 -0.0009
860 0.6545 nan 0.1000 -0.0005
880 0.6530 nan 0.1000 -0.0014
900 0.6514 nan 0.1000 -0.0011
920 0.6503 nan 0.1000 -0.0015
940 0.6487 nan 0.1000 -0.0010
960 0.6471 nan 0.1000 -0.0004
980 0.6476 nan 0.1000 -0.0007
1000 0.6452 nan 0.1000 -0.0004
1020 0.6431 nan 0.1000 -0.0013
1040 0.6424 nan 0.1000 -0.0009
1060 0.6414 nan 0.1000 -0.0004
1080 0.6403 nan 0.1000 -0.0005
1100 0.6398 nan 0.1000 -0.0006
- Fold04.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2562 nan 0.1000 0.0363
2 1.1917 nan 0.1000 0.0297
3 1.1430 nan 0.1000 0.0213
4 1.1002 nan 0.1000 0.0207
5 1.0655 nan 0.1000 0.0177
6 1.0342 nan 0.1000 0.0158
7 1.0061 nan 0.1000 0.0118
8 0.9845 nan 0.1000 0.0090
9 0.9669 nan 0.1000 0.0095
10 0.9486 nan 0.1000 0.0085
20 0.8577 nan 0.1000 0.0016
40 0.7860 nan 0.1000 -0.0006
60 0.7501 nan 0.1000 -0.0005
80 0.7230 nan 0.1000 -0.0004
100 0.6986 nan 0.1000 -0.0006
120 0.6832 nan 0.1000 -0.0016
140 0.6682 nan 0.1000 -0.0005
160 0.6556 nan 0.1000 -0.0008
180 0.6442 nan 0.1000 -0.0018
200 0.6327 nan 0.1000 -0.0004
220 0.6183 nan 0.1000 -0.0007
240 0.6097 nan 0.1000 -0.0009
260 0.6002 nan 0.1000 -0.0006
280 0.5920 nan 0.1000 -0.0008
300 0.5833 nan 0.1000 -0.0019
320 0.5726 nan 0.1000 -0.0004
340 0.5630 nan 0.1000 -0.0004
360 0.5540 nan 0.1000 -0.0014
380 0.5466 nan 0.1000 -0.0006
400 0.5407 nan 0.1000 -0.0006
420 0.5323 nan 0.1000 -0.0011
440 0.5258 nan 0.1000 -0.0008
460 0.5224 nan 0.1000 -0.0005
480 0.5157 nan 0.1000 -0.0013
500 0.5098 nan 0.1000 -0.0015
520 0.5021 nan 0.1000 -0.0008
540 0.4974 nan 0.1000 -0.0015
560 0.4918 nan 0.1000 -0.0016
580 0.4869 nan 0.1000 -0.0005
600 0.4830 nan 0.1000 -0.0006
620 0.4775 nan 0.1000 -0.0009
640 0.4716 nan 0.1000 -0.0011
660 0.4673 nan 0.1000 -0.0015
680 0.4641 nan 0.1000 -0.0002
700 0.4603 nan 0.1000 -0.0017
720 0.4554 nan 0.1000 -0.0014
740 0.4517 nan 0.1000 -0.0005
760 0.4482 nan 0.1000 -0.0014
780 0.4451 nan 0.1000 -0.0013
800 0.4415 nan 0.1000 -0.0014
820 0.4371 nan 0.1000 -0.0005
840 0.4329 nan 0.1000 -0.0011
860 0.4270 nan 0.1000 -0.0005
880 0.4246 nan 0.1000 -0.0009
900 0.4214 nan 0.1000 -0.0014
920 0.4183 nan 0.1000 -0.0008
940 0.4144 nan 0.1000 -0.0006
960 0.4107 nan 0.1000 -0.0006
980 0.4070 nan 0.1000 -0.0010
1000 0.4022 nan 0.1000 -0.0010
1020 0.3995 nan 0.1000 -0.0004
1040 0.3963 nan 0.1000 -0.0011
1060 0.3928 nan 0.1000 -0.0017
1080 0.3885 nan 0.1000 -0.0011
1100 0.3867 nan 0.1000 -0.0015
- Fold04.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2468 nan 0.1000 0.0400
2 1.1837 nan 0.1000 0.0310
3 1.1310 nan 0.1000 0.0257
4 1.0863 nan 0.1000 0.0212
5 1.0492 nan 0.1000 0.0157
6 1.0170 nan 0.1000 0.0148
7 0.9903 nan 0.1000 0.0102
8 0.9640 nan 0.1000 0.0112
9 0.9397 nan 0.1000 0.0113
10 0.9193 nan 0.1000 0.0076
20 0.8259 nan 0.1000 -0.0003
40 0.7435 nan 0.1000 -0.0012
60 0.7025 nan 0.1000 -0.0012
80 0.6716 nan 0.1000 -0.0007
100 0.6431 nan 0.1000 -0.0009
120 0.6192 nan 0.1000 -0.0016
140 0.6002 nan 0.1000 -0.0016
160 0.5808 nan 0.1000 -0.0011
180 0.5579 nan 0.1000 -0.0016
200 0.5412 nan 0.1000 -0.0003
220 0.5234 nan 0.1000 -0.0005
240 0.5084 nan 0.1000 -0.0008
260 0.4966 nan 0.1000 -0.0012
280 0.4851 nan 0.1000 -0.0008
300 0.4750 nan 0.1000 -0.0000
320 0.4649 nan 0.1000 -0.0011
340 0.4568 nan 0.1000 -0.0012
360 0.4473 nan 0.1000 -0.0005
380 0.4408 nan 0.1000 -0.0006
400 0.4336 nan 0.1000 -0.0017
420 0.4248 nan 0.1000 -0.0007
440 0.4173 nan 0.1000 -0.0006
460 0.4113 nan 0.1000 -0.0011
480 0.4018 nan 0.1000 -0.0008
500 0.3946 nan 0.1000 -0.0010
520 0.3889 nan 0.1000 -0.0007
540 0.3820 nan 0.1000 -0.0010
560 0.3755 nan 0.1000 -0.0022
580 0.3697 nan 0.1000 -0.0008
600 0.3631 nan 0.1000 -0.0007
620 0.3575 nan 0.1000 -0.0011
640 0.3516 nan 0.1000 -0.0007
660 0.3467 nan 0.1000 -0.0013
680 0.3413 nan 0.1000 -0.0013
700 0.3367 nan 0.1000 -0.0012
720 0.3318 nan 0.1000 -0.0010
740 0.3276 nan 0.1000 -0.0012
760 0.3224 nan 0.1000 -0.0005
780 0.3165 nan 0.1000 -0.0010
800 0.3118 nan 0.1000 -0.0010
820 0.3054 nan 0.1000 -0.0006
840 0.3006 nan 0.1000 -0.0003
860 0.2970 nan 0.1000 -0.0006
880 0.2929 nan 0.1000 -0.0010
900 0.2899 nan 0.1000 -0.0011
920 0.2863 nan 0.1000 -0.0018
940 0.2833 nan 0.1000 -0.0011
960 0.2799 nan 0.1000 -0.0010
980 0.2761 nan 0.1000 -0.0005
1000 0.2731 nan 0.1000 -0.0006
1020 0.2697 nan 0.1000 -0.0008
1040 0.2660 nan 0.1000 -0.0009
1060 0.2629 nan 0.1000 -0.0007
1080 0.2590 nan 0.1000 -0.0007
1100 0.2567 nan 0.1000 -0.0014
- Fold04.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3261 nan 0.0100 0.0029
2 1.3205 nan 0.0100 0.0028
3 1.3146 nan 0.0100 0.0029
4 1.3098 nan 0.0100 0.0027
5 1.3049 nan 0.0100 0.0027
6 1.2997 nan 0.0100 0.0027
7 1.2943 nan 0.0100 0.0026
8 1.2890 nan 0.0100 0.0026
9 1.2834 nan 0.0100 0.0025
10 1.2785 nan 0.0100 0.0025
20 1.2341 nan 0.0100 0.0020
40 1.1633 nan 0.0100 0.0014
60 1.1157 nan 0.0100 0.0010
80 1.0793 nan 0.0100 0.0008
100 1.0501 nan 0.0100 0.0006
120 1.0253 nan 0.0100 0.0005
140 1.0054 nan 0.0100 0.0004
160 0.9887 nan 0.0100 0.0002
180 0.9742 nan 0.0100 0.0001
200 0.9613 nan 0.0100 0.0002
220 0.9497 nan 0.0100 0.0002
240 0.9396 nan 0.0100 0.0001
260 0.9308 nan 0.0100 0.0002
280 0.9222 nan 0.0100 0.0001
300 0.9155 nan 0.0100 0.0001
320 0.9087 nan 0.0100 0.0001
340 0.9017 nan 0.0100 0.0001
360 0.8961 nan 0.0100 0.0001
380 0.8909 nan 0.0100 -0.0000
400 0.8862 nan 0.0100 0.0000
420 0.8814 nan 0.0100 0.0000
440 0.8766 nan 0.0100 -0.0000
460 0.8723 nan 0.0100 -0.0000
480 0.8685 nan 0.0100 0.0000
500 0.8645 nan 0.0100 -0.0000
520 0.8606 nan 0.0100 0.0000
540 0.8574 nan 0.0100 0.0000
560 0.8541 nan 0.0100 0.0000
580 0.8509 nan 0.0100 -0.0000
600 0.8479 nan 0.0100 -0.0000
620 0.8449 nan 0.0100 -0.0000
640 0.8422 nan 0.0100 -0.0000
660 0.8394 nan 0.0100 -0.0000
680 0.8369 nan 0.0100 0.0000
700 0.8346 nan 0.0100 -0.0001
720 0.8319 nan 0.0100 -0.0001
740 0.8294 nan 0.0100 -0.0000
760 0.8271 nan 0.0100 0.0000
780 0.8250 nan 0.0100 -0.0001
800 0.8229 nan 0.0100 -0.0000
820 0.8208 nan 0.0100 -0.0001
840 0.8189 nan 0.0100 -0.0000
860 0.8171 nan 0.0100 0.0000
880 0.8150 nan 0.0100 0.0000
900 0.8135 nan 0.0100 -0.0001
920 0.8119 nan 0.0100 -0.0000
940 0.8103 nan 0.0100 -0.0001
960 0.8084 nan 0.0100 -0.0001
980 0.8070 nan 0.0100 -0.0001
1000 0.8054 nan 0.0100 -0.0000
1020 0.8039 nan 0.0100 -0.0001
1040 0.8026 nan 0.0100 -0.0001
1060 0.8013 nan 0.0100 -0.0001
1080 0.8001 nan 0.0100 -0.0001
1100 0.7986 nan 0.0100 -0.0001
- Fold05.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3247 nan 0.0100 0.0037
2 1.3176 nan 0.0100 0.0034
3 1.3104 nan 0.0100 0.0037
4 1.3032 nan 0.0100 0.0034
5 1.2966 nan 0.0100 0.0031
6 1.2906 nan 0.0100 0.0033
7 1.2839 nan 0.0100 0.0030
8 1.2773 nan 0.0100 0.0028
9 1.2704 nan 0.0100 0.0031
10 1.2644 nan 0.0100 0.0032
20 1.2089 nan 0.0100 0.0022
40 1.1211 nan 0.0100 0.0016
60 1.0571 nan 0.0100 0.0012
80 1.0099 nan 0.0100 0.0010
100 0.9755 nan 0.0100 0.0005
120 0.9470 nan 0.0100 0.0006
140 0.9244 nan 0.0100 0.0002
160 0.9069 nan 0.0100 0.0003
180 0.8920 nan 0.0100 0.0002
200 0.8788 nan 0.0100 0.0001
220 0.8676 nan 0.0100 0.0002
240 0.8578 nan 0.0100 0.0001
260 0.8483 nan 0.0100 0.0001
280 0.8408 nan 0.0100 0.0000
300 0.8333 nan 0.0100 0.0000
320 0.8258 nan 0.0100 -0.0000
340 0.8193 nan 0.0100 0.0000
360 0.8128 nan 0.0100 0.0001
380 0.8069 nan 0.0100 -0.0000
400 0.8020 nan 0.0100 0.0000
420 0.7969 nan 0.0100 0.0000
440 0.7914 nan 0.0100 0.0000
460 0.7871 nan 0.0100 0.0000
480 0.7832 nan 0.0100 -0.0001
500 0.7790 nan 0.0100 -0.0001
520 0.7749 nan 0.0100 0.0000
540 0.7713 nan 0.0100 -0.0000
560 0.7680 nan 0.0100 -0.0001
580 0.7647 nan 0.0100 -0.0001
600 0.7614 nan 0.0100 -0.0000
620 0.7584 nan 0.0100 -0.0001
640 0.7554 nan 0.0100 -0.0001
660 0.7525 nan 0.0100 -0.0001
680 0.7497 nan 0.0100 -0.0001
700 0.7469 nan 0.0100 -0.0001
720 0.7440 nan 0.0100 0.0000
740 0.7417 nan 0.0100 -0.0001
760 0.7390 nan 0.0100 -0.0001
780 0.7363 nan 0.0100 -0.0000
800 0.7340 nan 0.0100 -0.0001
820 0.7311 nan 0.0100 0.0000
840 0.7287 nan 0.0100 -0.0001
860 0.7263 nan 0.0100 -0.0002
880 0.7243 nan 0.0100 -0.0000
900 0.7220 nan 0.0100 -0.0000
920 0.7197 nan 0.0100 -0.0000
940 0.7177 nan 0.0100 -0.0001
960 0.7154 nan 0.0100 -0.0000
980 0.7132 nan 0.0100 -0.0000
1000 0.7113 nan 0.0100 -0.0001
1020 0.7091 nan 0.0100 -0.0000
1040 0.7074 nan 0.0100 -0.0003
1060 0.7054 nan 0.0100 -0.0001
1080 0.7040 nan 0.0100 -0.0001
1100 0.7023 nan 0.0100 -0.0000
- Fold05.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3242 nan 0.0100 0.0040
2 1.3167 nan 0.0100 0.0038
3 1.3087 nan 0.0100 0.0039
4 1.3013 nan 0.0100 0.0036
5 1.2940 nan 0.0100 0.0036
6 1.2867 nan 0.0100 0.0033
7 1.2798 nan 0.0100 0.0037
8 1.2732 nan 0.0100 0.0034
9 1.2666 nan 0.0100 0.0032
10 1.2596 nan 0.0100 0.0034
20 1.1968 nan 0.0100 0.0028
40 1.1006 nan 0.0100 0.0019
60 1.0316 nan 0.0100 0.0015
80 0.9786 nan 0.0100 0.0011
100 0.9397 nan 0.0100 0.0007
120 0.9097 nan 0.0100 0.0004
140 0.8867 nan 0.0100 0.0003
160 0.8670 nan 0.0100 0.0003
180 0.8508 nan 0.0100 0.0002
200 0.8372 nan 0.0100 0.0001
220 0.8247 nan 0.0100 0.0001
240 0.8140 nan 0.0100 0.0002
260 0.8045 nan 0.0100 0.0001
280 0.7961 nan 0.0100 0.0001
300 0.7874 nan 0.0100 -0.0000
320 0.7796 nan 0.0100 0.0001
340 0.7722 nan 0.0100 -0.0000
360 0.7661 nan 0.0100 -0.0000
380 0.7606 nan 0.0100 0.0000
400 0.7545 nan 0.0100 0.0000
420 0.7493 nan 0.0100 -0.0000
440 0.7442 nan 0.0100 -0.0000
460 0.7398 nan 0.0100 -0.0001
480 0.7350 nan 0.0100 -0.0001
500 0.7304 nan 0.0100 -0.0000
520 0.7262 nan 0.0100 -0.0003
540 0.7223 nan 0.0100 0.0000
560 0.7188 nan 0.0100 -0.0000
580 0.7153 nan 0.0100 -0.0001
600 0.7119 nan 0.0100 -0.0001
620 0.7083 nan 0.0100 -0.0001
640 0.7052 nan 0.0100 -0.0000
660 0.7017 nan 0.0100 -0.0001
680 0.6978 nan 0.0100 -0.0001
700 0.6947 nan 0.0100 -0.0000
720 0.6911 nan 0.0100 -0.0001
740 0.6875 nan 0.0100 -0.0001
760 0.6849 nan 0.0100 -0.0000
780 0.6817 nan 0.0100 -0.0001
800 0.6788 nan 0.0100 -0.0001
820 0.6757 nan 0.0100 -0.0001
840 0.6729 nan 0.0100 -0.0001
860 0.6705 nan 0.0100 -0.0001
880 0.6678 nan 0.0100 -0.0001
900 0.6647 nan 0.0100 -0.0001
920 0.6620 nan 0.0100 -0.0002
940 0.6590 nan 0.0100 -0.0001
960 0.6570 nan 0.0100 -0.0003
980 0.6544 nan 0.0100 -0.0001
1000 0.6517 nan 0.0100 -0.0001
1020 0.6490 nan 0.0100 -0.0001
1040 0.6466 nan 0.0100 -0.0002
1060 0.6445 nan 0.0100 -0.0001
1080 0.6422 nan 0.0100 -0.0001
1100 0.6395 nan 0.0100 -0.0001
- Fold05.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2706 nan 0.1000 0.0283
2 1.2232 nan 0.1000 0.0225
3 1.1832 nan 0.1000 0.0173
4 1.1513 nan 0.1000 0.0146
5 1.1267 nan 0.1000 0.0123
6 1.1045 nan 0.1000 0.0093
7 1.0883 nan 0.1000 0.0081
8 1.0705 nan 0.1000 0.0077
9 1.0562 nan 0.1000 0.0062
10 1.0434 nan 0.1000 0.0068
20 0.9574 nan 0.1000 0.0025
40 0.8833 nan 0.1000 0.0005
60 0.8471 nan 0.1000 0.0003
80 0.8240 nan 0.1000 -0.0001
100 0.8042 nan 0.1000 -0.0000
120 0.7912 nan 0.1000 -0.0006
140 0.7796 nan 0.1000 -0.0002
160 0.7717 nan 0.1000 -0.0002
180 0.7631 nan 0.1000 -0.0007
200 0.7565 nan 0.1000 -0.0006
220 0.7511 nan 0.1000 -0.0012
240 0.7470 nan 0.1000 -0.0004
260 0.7414 nan 0.1000 -0.0007
280 0.7368 nan 0.1000 0.0000
300 0.7341 nan 0.1000 -0.0001
320 0.7313 nan 0.1000 -0.0010
340 0.7283 nan 0.1000 -0.0003
360 0.7245 nan 0.1000 -0.0008
380 0.7200 nan 0.1000 -0.0008
400 0.7176 nan 0.1000 -0.0008
420 0.7162 nan 0.1000 -0.0007
440 0.7126 nan 0.1000 -0.0010
460 0.7080 nan 0.1000 -0.0011
480 0.7044 nan 0.1000 -0.0003
500 0.7021 nan 0.1000 -0.0007
520 0.7003 nan 0.1000 -0.0007
540 0.6984 nan 0.1000 -0.0008
560 0.6945 nan 0.1000 -0.0008
580 0.6925 nan 0.1000 -0.0006
600 0.6908 nan 0.1000 -0.0005
620 0.6891 nan 0.1000 -0.0008
640 0.6867 nan 0.1000 -0.0001
660 0.6856 nan 0.1000 -0.0008
680 0.6830 nan 0.1000 -0.0011
700 0.6809 nan 0.1000 -0.0006
720 0.6793 nan 0.1000 -0.0011
740 0.6782 nan 0.1000 -0.0007
760 0.6764 nan 0.1000 -0.0016
780 0.6747 nan 0.1000 -0.0008
800 0.6738 nan 0.1000 -0.0010
820 0.6723 nan 0.1000 -0.0006
840 0.6710 nan 0.1000 -0.0007
860 0.6695 nan 0.1000 -0.0007
880 0.6679 nan 0.1000 -0.0003
900 0.6667 nan 0.1000 -0.0004
920 0.6647 nan 0.1000 -0.0006
940 0.6627 nan 0.1000 -0.0007
960 0.6612 nan 0.1000 -0.0007
980 0.6602 nan 0.1000 -0.0011
1000 0.6584 nan 0.1000 -0.0010
1020 0.6564 nan 0.1000 -0.0006
1040 0.6555 nan 0.1000 -0.0006
1060 0.6567 nan 0.1000 -0.0011
1080 0.6544 nan 0.1000 -0.0006
1100 0.6533 nan 0.1000 -0.0012
- Fold05.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2627 nan 0.1000 0.0362
2 1.2077 nan 0.1000 0.0275
3 1.1602 nan 0.1000 0.0228
4 1.1198 nan 0.1000 0.0204
5 1.0835 nan 0.1000 0.0167
6 1.0568 nan 0.1000 0.0138
7 1.0319 nan 0.1000 0.0114
8 1.0078 nan 0.1000 0.0107
9 0.9906 nan 0.1000 0.0055
10 0.9726 nan 0.1000 0.0029
20 0.8762 nan 0.1000 0.0013
40 0.8038 nan 0.1000 -0.0002
60 0.7615 nan 0.1000 0.0001
80 0.7321 nan 0.1000 -0.0003
100 0.7096 nan 0.1000 -0.0001
120 0.6936 nan 0.1000 -0.0020
140 0.6805 nan 0.1000 -0.0017
160 0.6711 nan 0.1000 -0.0014
180 0.6562 nan 0.1000 -0.0013
200 0.6454 nan 0.1000 -0.0020
220 0.6343 nan 0.1000 -0.0009
240 0.6247 nan 0.1000 -0.0012
260 0.6150 nan 0.1000 -0.0005
280 0.6076 nan 0.1000 -0.0005
300 0.5984 nan 0.1000 -0.0017
320 0.5896 nan 0.1000 -0.0002
340 0.5816 nan 0.1000 -0.0013
360 0.5737 nan 0.1000 -0.0006
380 0.5649 nan 0.1000 -0.0018
400 0.5552 nan 0.1000 -0.0009
420 0.5495 nan 0.1000 -0.0010
440 0.5409 nan 0.1000 -0.0005
460 0.5343 nan 0.1000 -0.0012
480 0.5272 nan 0.1000 -0.0020
500 0.5206 nan 0.1000 -0.0006
520 0.5140 nan 0.1000 -0.0007
540 0.5073 nan 0.1000 -0.0007
560 0.5032 nan 0.1000 -0.0005
580 0.4987 nan 0.1000 -0.0015
600 0.4926 nan 0.1000 -0.0004
620 0.4873 nan 0.1000 -0.0009
640 0.4818 nan 0.1000 -0.0012
660 0.4764 nan 0.1000 -0.0006
680 0.4720 nan 0.1000 -0.0007
700 0.4675 nan 0.1000 -0.0013
720 0.4623 nan 0.1000 -0.0005
740 0.4584 nan 0.1000 -0.0008
760 0.4510 nan 0.1000 -0.0005
780 0.4478 nan 0.1000 -0.0012
800 0.4448 nan 0.1000 -0.0011
820 0.4406 nan 0.1000 -0.0005
840 0.4379 nan 0.1000 -0.0012
860 0.4343 nan 0.1000 -0.0010
880 0.4310 nan 0.1000 -0.0006
900 0.4278 nan 0.1000 -0.0008
920 0.4243 nan 0.1000 -0.0008
940 0.4217 nan 0.1000 -0.0007
960 0.4188 nan 0.1000 -0.0009
980 0.4148 nan 0.1000 -0.0006
1000 0.4122 nan 0.1000 -0.0005
1020 0.4095 nan 0.1000 -0.0012
1040 0.4065 nan 0.1000 -0.0010
1060 0.4023 nan 0.1000 -0.0011
1080 0.3998 nan 0.1000 -0.0012
1100 0.3971 nan 0.1000 -0.0011
- Fold05.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2550 nan 0.1000 0.0373
2 1.1922 nan 0.1000 0.0319
3 1.1422 nan 0.1000 0.0263
4 1.0975 nan 0.1000 0.0204
5 1.0615 nan 0.1000 0.0177
6 1.0308 nan 0.1000 0.0151
7 1.0038 nan 0.1000 0.0134
8 0.9779 nan 0.1000 0.0121
9 0.9581 nan 0.1000 0.0081
10 0.9389 nan 0.1000 0.0095
20 0.8349 nan 0.1000 0.0023
40 0.7613 nan 0.1000 -0.0003
60 0.7145 nan 0.1000 -0.0017
80 0.6851 nan 0.1000 -0.0003
100 0.6589 nan 0.1000 -0.0011
120 0.6388 nan 0.1000 -0.0016
140 0.6227 nan 0.1000 -0.0022
160 0.6032 nan 0.1000 -0.0003
180 0.5870 nan 0.1000 -0.0006
200 0.5691 nan 0.1000 -0.0017
220 0.5544 nan 0.1000 -0.0015
240 0.5415 nan 0.1000 -0.0004
260 0.5295 nan 0.1000 -0.0006
280 0.5143 nan 0.1000 -0.0014
300 0.5031 nan 0.1000 -0.0024
320 0.4875 nan 0.1000 -0.0006
340 0.4767 nan 0.1000 -0.0007
360 0.4683 nan 0.1000 -0.0017
380 0.4562 nan 0.1000 -0.0009
400 0.4486 nan 0.1000 -0.0027
420 0.4376 nan 0.1000 -0.0008
440 0.4282 nan 0.1000 -0.0006
460 0.4211 nan 0.1000 -0.0012
480 0.4148 nan 0.1000 -0.0011
500 0.4044 nan 0.1000 -0.0005
520 0.3996 nan 0.1000 -0.0016
540 0.3909 nan 0.1000 -0.0012
560 0.3841 nan 0.1000 -0.0017
580 0.3781 nan 0.1000 -0.0005
600 0.3721 nan 0.1000 -0.0010
620 0.3651 nan 0.1000 -0.0010
640 0.3592 nan 0.1000 -0.0008
660 0.3542 nan 0.1000 -0.0009
680 0.3486 nan 0.1000 -0.0014
700 0.3435 nan 0.1000 -0.0010
720 0.3379 nan 0.1000 -0.0014
740 0.3330 nan 0.1000 -0.0005
760 0.3278 nan 0.1000 -0.0006
780 0.3232 nan 0.1000 -0.0008
800 0.3190 nan 0.1000 -0.0011
820 0.3161 nan 0.1000 -0.0013
840 0.3096 nan 0.1000 -0.0010
860 0.3048 nan 0.1000 -0.0005
880 0.3011 nan 0.1000 -0.0008
900 0.2975 nan 0.1000 -0.0014
920 0.2930 nan 0.1000 -0.0006
940 0.2904 nan 0.1000 -0.0016
960 0.2869 nan 0.1000 -0.0011
980 0.2831 nan 0.1000 -0.0007
1000 0.2799 nan 0.1000 -0.0005
1020 0.2773 nan 0.1000 -0.0009
1040 0.2736 nan 0.1000 -0.0008
1060 0.2694 nan 0.1000 -0.0009
1080 0.2672 nan 0.1000 -0.0004
1100 0.2644 nan 0.1000 -0.0009
- Fold05.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3257 nan 0.0100 0.0029
2 1.3195 nan 0.0100 0.0031
3 1.3132 nan 0.0100 0.0030
4 1.3072 nan 0.0100 0.0029
5 1.3015 nan 0.0100 0.0029
6 1.2954 nan 0.0100 0.0027
7 1.2902 nan 0.0100 0.0026
8 1.2852 nan 0.0100 0.0025
9 1.2800 nan 0.0100 0.0026
10 1.2744 nan 0.0100 0.0026
20 1.2292 nan 0.0100 0.0020
40 1.1564 nan 0.0100 0.0015
60 1.1069 nan 0.0100 0.0010
80 1.0701 nan 0.0100 0.0007
100 1.0397 nan 0.0100 0.0006
120 1.0151 nan 0.0100 0.0005
140 0.9949 nan 0.0100 0.0004
160 0.9767 nan 0.0100 0.0004
180 0.9604 nan 0.0100 0.0001
200 0.9469 nan 0.0100 0.0002
220 0.9345 nan 0.0100 0.0002
240 0.9235 nan 0.0100 0.0002
260 0.9136 nan 0.0100 0.0002
280 0.9053 nan 0.0100 0.0001
300 0.8972 nan 0.0100 0.0001
320 0.8896 nan 0.0100 0.0001
340 0.8831 nan 0.0100 0.0001
360 0.8771 nan 0.0100 0.0000
380 0.8711 nan 0.0100 0.0001
400 0.8655 nan 0.0100 0.0000
420 0.8607 nan 0.0100 0.0000
440 0.8558 nan 0.0100 -0.0000
460 0.8512 nan 0.0100 0.0000
480 0.8471 nan 0.0100 -0.0000
500 0.8430 nan 0.0100 -0.0000
520 0.8392 nan 0.0100 0.0000
540 0.8355 nan 0.0100 -0.0000
560 0.8320 nan 0.0100 0.0000
580 0.8284 nan 0.0100 0.0000
600 0.8250 nan 0.0100 -0.0000
620 0.8220 nan 0.0100 -0.0000
640 0.8190 nan 0.0100 -0.0001
660 0.8163 nan 0.0100 -0.0000
680 0.8137 nan 0.0100 0.0000
700 0.8111 nan 0.0100 -0.0001
720 0.8088 nan 0.0100 -0.0000
740 0.8064 nan 0.0100 0.0000
760 0.8041 nan 0.0100 -0.0000
780 0.8018 nan 0.0100 -0.0000
800 0.7995 nan 0.0100 -0.0000
820 0.7973 nan 0.0100 -0.0000
840 0.7952 nan 0.0100 -0.0000
860 0.7932 nan 0.0100 -0.0000
880 0.7913 nan 0.0100 -0.0000
900 0.7896 nan 0.0100 -0.0000
920 0.7877 nan 0.0100 0.0000
940 0.7859 nan 0.0100 -0.0001
960 0.7841 nan 0.0100 -0.0001
980 0.7825 nan 0.0100 -0.0000
1000 0.7808 nan 0.0100 -0.0000
1020 0.7790 nan 0.0100 -0.0000
1040 0.7776 nan 0.0100 -0.0001
1060 0.7762 nan 0.0100 -0.0000
1080 0.7748 nan 0.0100 -0.0001
1100 0.7734 nan 0.0100 -0.0001
- Fold06.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3239 nan 0.0100 0.0037
2 1.3166 nan 0.0100 0.0038
3 1.3092 nan 0.0100 0.0036
4 1.3018 nan 0.0100 0.0036
5 1.2944 nan 0.0100 0.0037
6 1.2871 nan 0.0100 0.0035
7 1.2803 nan 0.0100 0.0032
8 1.2732 nan 0.0100 0.0033
9 1.2672 nan 0.0100 0.0029
10 1.2606 nan 0.0100 0.0033
20 1.2019 nan 0.0100 0.0027
40 1.1139 nan 0.0100 0.0017
60 1.0470 nan 0.0100 0.0013
80 0.9984 nan 0.0100 0.0010
100 0.9601 nan 0.0100 0.0008
120 0.9310 nan 0.0100 0.0006
140 0.9083 nan 0.0100 0.0004
160 0.8890 nan 0.0100 0.0002
180 0.8735 nan 0.0100 0.0002
200 0.8599 nan 0.0100 0.0002
220 0.8491 nan 0.0100 0.0002
240 0.8392 nan 0.0100 0.0001
260 0.8296 nan 0.0100 0.0001
280 0.8202 nan 0.0100 0.0001
300 0.8120 nan 0.0100 0.0001
320 0.8046 nan 0.0100 0.0001
340 0.7981 nan 0.0100 0.0001
360 0.7920 nan 0.0100 0.0000
380 0.7865 nan 0.0100 0.0000
400 0.7807 nan 0.0100 0.0000
420 0.7752 nan 0.0100 0.0000
440 0.7706 nan 0.0100 0.0000
460 0.7662 nan 0.0100 -0.0001
480 0.7617 nan 0.0100 -0.0000
500 0.7574 nan 0.0100 0.0000
520 0.7532 nan 0.0100 -0.0000
540 0.7494 nan 0.0100 -0.0000
560 0.7460 nan 0.0100 -0.0000
580 0.7427 nan 0.0100 -0.0001
600 0.7391 nan 0.0100 -0.0000
620 0.7364 nan 0.0100 -0.0000
640 0.7333 nan 0.0100 -0.0001
660 0.7299 nan 0.0100 0.0000
680 0.7267 nan 0.0100 0.0000
700 0.7238 nan 0.0100 -0.0000
720 0.7209 nan 0.0100 -0.0000
740 0.7184 nan 0.0100 -0.0000
760 0.7154 nan 0.0100 -0.0000
780 0.7126 nan 0.0100 -0.0000
800 0.7102 nan 0.0100 -0.0001
820 0.7079 nan 0.0100 -0.0001
840 0.7055 nan 0.0100 -0.0002
860 0.7032 nan 0.0100 -0.0000
880 0.7009 nan 0.0100 0.0000
900 0.6989 nan 0.0100 -0.0000
920 0.6968 nan 0.0100 -0.0001
940 0.6943 nan 0.0100 -0.0000
960 0.6918 nan 0.0100 -0.0001
980 0.6898 nan 0.0100 -0.0001
1000 0.6878 nan 0.0100 -0.0000
1020 0.6856 nan 0.0100 -0.0001
1040 0.6838 nan 0.0100 -0.0001
1060 0.6817 nan 0.0100 -0.0001
1080 0.6800 nan 0.0100 -0.0001
1100 0.6782 nan 0.0100 -0.0001
- Fold06.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3237 nan 0.0100 0.0039
2 1.3154 nan 0.0100 0.0042
3 1.3072 nan 0.0100 0.0038
4 1.2986 nan 0.0100 0.0040
5 1.2908 nan 0.0100 0.0038
6 1.2837 nan 0.0100 0.0036
7 1.2758 nan 0.0100 0.0036
8 1.2684 nan 0.0100 0.0037
9 1.2615 nan 0.0100 0.0032
10 1.2551 nan 0.0100 0.0031
20 1.1916 nan 0.0100 0.0028
40 1.0904 nan 0.0100 0.0020
60 1.0186 nan 0.0100 0.0015
80 0.9660 nan 0.0100 0.0011
100 0.9263 nan 0.0100 0.0007
120 0.8947 nan 0.0100 0.0006
140 0.8705 nan 0.0100 0.0005
160 0.8505 nan 0.0100 0.0002
180 0.8340 nan 0.0100 0.0003
200 0.8195 nan 0.0100 0.0003
220 0.8070 nan 0.0100 0.0000
240 0.7953 nan 0.0100 -0.0000
260 0.7850 nan 0.0100 0.0001
280 0.7757 nan 0.0100 0.0001
300 0.7670 nan 0.0100 0.0001
320 0.7597 nan 0.0100 -0.0000
340 0.7523 nan 0.0100 -0.0000
360 0.7457 nan 0.0100 0.0000
380 0.7392 nan 0.0100 0.0000
400 0.7335 nan 0.0100 -0.0000
420 0.7284 nan 0.0100 -0.0002
440 0.7232 nan 0.0100 -0.0002
460 0.7184 nan 0.0100 -0.0000
480 0.7135 nan 0.0100 -0.0000
500 0.7091 nan 0.0100 -0.0001
520 0.7052 nan 0.0100 -0.0002
540 0.7009 nan 0.0100 -0.0002
560 0.6966 nan 0.0100 -0.0001
580 0.6923 nan 0.0100 -0.0001
600 0.6884 nan 0.0100 -0.0000
620 0.6847 nan 0.0100 -0.0000
640 0.6809 nan 0.0100 -0.0001
660 0.6776 nan 0.0100 -0.0001
680 0.6745 nan 0.0100 -0.0001
700 0.6710 nan 0.0100 -0.0001
720 0.6680 nan 0.0100 -0.0002
740 0.6649 nan 0.0100 -0.0001
760 0.6618 nan 0.0100 -0.0001
780 0.6588 nan 0.0100 -0.0001
800 0.6559 nan 0.0100 -0.0001
820 0.6529 nan 0.0100 -0.0001
840 0.6493 nan 0.0100 -0.0001
860 0.6465 nan 0.0100 -0.0001
880 0.6439 nan 0.0100 -0.0002
900 0.6412 nan 0.0100 -0.0002
920 0.6384 nan 0.0100 -0.0001
940 0.6358 nan 0.0100 -0.0001
960 0.6332 nan 0.0100 -0.0001
980 0.6304 nan 0.0100 -0.0002
1000 0.6277 nan 0.0100 -0.0001
1020 0.6252 nan 0.0100 -0.0001
1040 0.6226 nan 0.0100 -0.0000
1060 0.6197 nan 0.0100 -0.0001
1080 0.6176 nan 0.0100 -0.0001
1100 0.6151 nan 0.0100 -0.0001
- Fold06.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2770 nan 0.1000 0.0276
2 1.2292 nan 0.1000 0.0252
3 1.1888 nan 0.1000 0.0205
4 1.1499 nan 0.1000 0.0157
5 1.1229 nan 0.1000 0.0130
6 1.1034 nan 0.1000 0.0108
7 1.0833 nan 0.1000 0.0075
8 1.0651 nan 0.1000 0.0089
9 1.0510 nan 0.1000 0.0059
10 1.0403 nan 0.1000 0.0048
20 0.9458 nan 0.1000 0.0027
40 0.8654 nan 0.1000 0.0008
60 0.8264 nan 0.1000 0.0007
80 0.8002 nan 0.1000 -0.0003
100 0.7799 nan 0.1000 0.0000
120 0.7669 nan 0.1000 -0.0005
140 0.7559 nan 0.1000 -0.0004
160 0.7464 nan 0.1000 0.0000
180 0.7391 nan 0.1000 -0.0004
200 0.7324 nan 0.1000 -0.0005
220 0.7281 nan 0.1000 -0.0007
240 0.7230 nan 0.1000 -0.0008
260 0.7157 nan 0.1000 -0.0002
280 0.7109 nan 0.1000 -0.0003
300 0.7064 nan 0.1000 -0.0008
320 0.7021 nan 0.1000 -0.0004
340 0.6985 nan 0.1000 -0.0002
360 0.6959 nan 0.1000 -0.0006
380 0.6925 nan 0.1000 -0.0007
400 0.6884 nan 0.1000 -0.0008
420 0.6855 nan 0.1000 -0.0010
440 0.6822 nan 0.1000 -0.0001
460 0.6803 nan 0.1000 -0.0004
480 0.6765 nan 0.1000 -0.0006
500 0.6732 nan 0.1000 -0.0009
520 0.6704 nan 0.1000 -0.0013
540 0.6677 nan 0.1000 -0.0010
560 0.6665 nan 0.1000 -0.0007
580 0.6649 nan 0.1000 -0.0004
600 0.6623 nan 0.1000 -0.0009
620 0.6603 nan 0.1000 -0.0003
640 0.6580 nan 0.1000 -0.0006
660 0.6565 nan 0.1000 -0.0013
680 0.6555 nan 0.1000 -0.0006
700 0.6532 nan 0.1000 -0.0008
720 0.6505 nan 0.1000 -0.0009
740 0.6503 nan 0.1000 -0.0010
760 0.6475 nan 0.1000 -0.0004
780 0.6472 nan 0.1000 -0.0017
800 0.6449 nan 0.1000 -0.0010
820 0.6420 nan 0.1000 -0.0006
840 0.6397 nan 0.1000 -0.0008
860 0.6375 nan 0.1000 -0.0003
880 0.6366 nan 0.1000 -0.0006
900 0.6334 nan 0.1000 -0.0005
920 0.6320 nan 0.1000 -0.0009
940 0.6298 nan 0.1000 -0.0006
960 0.6278 nan 0.1000 -0.0011
980 0.6268 nan 0.1000 -0.0005
1000 0.6243 nan 0.1000 -0.0008
1020 0.6227 nan 0.1000 -0.0004
1040 0.6212 nan 0.1000 -0.0007
1060 0.6200 nan 0.1000 -0.0007
1080 0.6186 nan 0.1000 -0.0008
1100 0.6161 nan 0.1000 -0.0004
- Fold06.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2547 nan 0.1000 0.0355
2 1.1966 nan 0.1000 0.0294
3 1.1518 nan 0.1000 0.0200
4 1.1099 nan 0.1000 0.0221
5 1.0726 nan 0.1000 0.0177
6 1.0414 nan 0.1000 0.0139
7 1.0163 nan 0.1000 0.0115
8 0.9900 nan 0.1000 0.0126
9 0.9710 nan 0.1000 0.0093
10 0.9522 nan 0.1000 0.0084
20 0.8522 nan 0.1000 0.0013
40 0.7750 nan 0.1000 -0.0000
60 0.7352 nan 0.1000 -0.0000
80 0.7079 nan 0.1000 0.0007
100 0.6891 nan 0.1000 -0.0009
120 0.6682 nan 0.1000 -0.0005
140 0.6525 nan 0.1000 -0.0009
160 0.6414 nan 0.1000 -0.0017
180 0.6275 nan 0.1000 -0.0007
200 0.6161 nan 0.1000 -0.0005
220 0.6051 nan 0.1000 -0.0012
240 0.5932 nan 0.1000 -0.0007
260 0.5832 nan 0.1000 -0.0021
280 0.5748 nan 0.1000 -0.0010
300 0.5698 nan 0.1000 -0.0012
320 0.5590 nan 0.1000 -0.0006
340 0.5502 nan 0.1000 -0.0011
360 0.5404 nan 0.1000 -0.0018
380 0.5336 nan 0.1000 -0.0008
400 0.5248 nan 0.1000 -0.0013
420 0.5175 nan 0.1000 -0.0004
440 0.5115 nan 0.1000 -0.0007
460 0.5042 nan 0.1000 -0.0005
480 0.4969 nan 0.1000 -0.0017
500 0.4912 nan 0.1000 -0.0007
520 0.4835 nan 0.1000 -0.0014
540 0.4779 nan 0.1000 -0.0008
560 0.4723 nan 0.1000 -0.0010
580 0.4690 nan 0.1000 -0.0011
600 0.4647 nan 0.1000 -0.0007
620 0.4606 nan 0.1000 -0.0007
640 0.4549 nan 0.1000 -0.0011
660 0.4504 nan 0.1000 -0.0012
680 0.4462 nan 0.1000 -0.0007
700 0.4430 nan 0.1000 -0.0009
720 0.4387 nan 0.1000 -0.0010
740 0.4327 nan 0.1000 -0.0018
760 0.4300 nan 0.1000 -0.0010
780 0.4258 nan 0.1000 -0.0004
800 0.4224 nan 0.1000 -0.0009
820 0.4197 nan 0.1000 -0.0009
840 0.4163 nan 0.1000 -0.0010
860 0.4130 nan 0.1000 -0.0007
880 0.4091 nan 0.1000 -0.0008
900 0.4062 nan 0.1000 -0.0004
920 0.4045 nan 0.1000 -0.0009
940 0.4008 nan 0.1000 -0.0012
960 0.3974 nan 0.1000 -0.0010
980 0.3921 nan 0.1000 -0.0008
1000 0.3894 nan 0.1000 -0.0008
1020 0.3870 nan 0.1000 -0.0013
1040 0.3833 nan 0.1000 -0.0004
1060 0.3789 nan 0.1000 -0.0001
1080 0.3760 nan 0.1000 -0.0008
1100 0.3719 nan 0.1000 -0.0008
- Fold06.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2528 nan 0.1000 0.0376
2 1.1836 nan 0.1000 0.0329
3 1.1320 nan 0.1000 0.0221
4 1.0875 nan 0.1000 0.0222
5 1.0464 nan 0.1000 0.0195
6 1.0178 nan 0.1000 0.0143
7 0.9884 nan 0.1000 0.0114
8 0.9602 nan 0.1000 0.0123
9 0.9370 nan 0.1000 0.0103
10 0.9153 nan 0.1000 0.0092
20 0.8107 nan 0.1000 0.0025
40 0.7309 nan 0.1000 0.0003
60 0.6866 nan 0.1000 -0.0006
80 0.6604 nan 0.1000 -0.0023
100 0.6338 nan 0.1000 -0.0013
120 0.6089 nan 0.1000 -0.0007
140 0.5869 nan 0.1000 -0.0013
160 0.5698 nan 0.1000 -0.0013
180 0.5526 nan 0.1000 -0.0014
200 0.5379 nan 0.1000 -0.0010
220 0.5208 nan 0.1000 -0.0014
240 0.5077 nan 0.1000 -0.0006
260 0.4956 nan 0.1000 -0.0019
280 0.4819 nan 0.1000 -0.0023
300 0.4727 nan 0.1000 -0.0009
320 0.4581 nan 0.1000 -0.0005
340 0.4492 nan 0.1000 -0.0007
360 0.4386 nan 0.1000 -0.0009
380 0.4295 nan 0.1000 -0.0010
400 0.4228 nan 0.1000 -0.0004
420 0.4173 nan 0.1000 -0.0009
440 0.4070 nan 0.1000 -0.0011
460 0.4004 nan 0.1000 -0.0010
480 0.3921 nan 0.1000 -0.0012
500 0.3838 nan 0.1000 -0.0010
520 0.3779 nan 0.1000 -0.0013
540 0.3706 nan 0.1000 -0.0018
560 0.3653 nan 0.1000 -0.0011
580 0.3577 nan 0.1000 -0.0013
600 0.3517 nan 0.1000 -0.0008
620 0.3458 nan 0.1000 -0.0009
640 0.3412 nan 0.1000 -0.0007
660 0.3340 nan 0.1000 -0.0011
680 0.3288 nan 0.1000 -0.0012
700 0.3247 nan 0.1000 -0.0015
720 0.3202 nan 0.1000 -0.0006
740 0.3136 nan 0.1000 -0.0013
760 0.3073 nan 0.1000 -0.0008
780 0.3030 nan 0.1000 -0.0008
800 0.2964 nan 0.1000 -0.0004
820 0.2917 nan 0.1000 -0.0012
840 0.2877 nan 0.1000 -0.0009
860 0.2835 nan 0.1000 -0.0011
880 0.2780 nan 0.1000 -0.0012
900 0.2746 nan 0.1000 -0.0009
920 0.2705 nan 0.1000 -0.0006
940 0.2674 nan 0.1000 -0.0007
960 0.2632 nan 0.1000 -0.0006
980 0.2585 nan 0.1000 -0.0006
1000 0.2554 nan 0.1000 -0.0007
1020 0.2516 nan 0.1000 -0.0006
1040 0.2478 nan 0.1000 -0.0006
1060 0.2444 nan 0.1000 -0.0007
1080 0.2406 nan 0.1000 -0.0006
1100 0.2377 nan 0.1000 -0.0011
- Fold06.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3253 nan 0.0100 0.0031
2 1.3188 nan 0.0100 0.0031
3 1.3128 nan 0.0100 0.0029
4 1.3071 nan 0.0100 0.0030
5 1.3011 nan 0.0100 0.0030
6 1.2952 nan 0.0100 0.0028
7 1.2891 nan 0.0100 0.0028
8 1.2836 nan 0.0100 0.0025
9 1.2785 nan 0.0100 0.0026
10 1.2734 nan 0.0100 0.0027
20 1.2247 nan 0.0100 0.0022
40 1.1508 nan 0.0100 0.0015
60 1.1004 nan 0.0100 0.0010
80 1.0625 nan 0.0100 0.0008
100 1.0323 nan 0.0100 0.0006
120 1.0061 nan 0.0100 0.0006
140 0.9845 nan 0.0100 0.0004
160 0.9657 nan 0.0100 0.0002
180 0.9499 nan 0.0100 0.0003
200 0.9359 nan 0.0100 0.0003
220 0.9239 nan 0.0100 0.0002
240 0.9137 nan 0.0100 0.0001
260 0.9042 nan 0.0100 0.0002
280 0.8952 nan 0.0100 0.0000
300 0.8880 nan 0.0100 0.0001
320 0.8810 nan 0.0100 0.0001
340 0.8746 nan 0.0100 0.0000
360 0.8686 nan 0.0100 0.0000
380 0.8635 nan 0.0100 -0.0000
400 0.8579 nan 0.0100 -0.0000
420 0.8529 nan 0.0100 0.0000
440 0.8487 nan 0.0100 0.0000
460 0.8447 nan 0.0100 0.0001
480 0.8409 nan 0.0100 0.0000
500 0.8371 nan 0.0100 0.0001
520 0.8336 nan 0.0100 -0.0000
540 0.8301 nan 0.0100 0.0000
560 0.8270 nan 0.0100 0.0000
580 0.8239 nan 0.0100 -0.0001
600 0.8207 nan 0.0100 -0.0001
620 0.8181 nan 0.0100 -0.0000
640 0.8155 nan 0.0100 -0.0000
660 0.8131 nan 0.0100 -0.0000
680 0.8107 nan 0.0100 -0.0000
700 0.8084 nan 0.0100 -0.0000
720 0.8063 nan 0.0100 -0.0001
740 0.8042 nan 0.0100 -0.0000
760 0.8022 nan 0.0100 -0.0001
780 0.8003 nan 0.0100 0.0000
800 0.7986 nan 0.0100 -0.0001
820 0.7970 nan 0.0100 -0.0000
840 0.7954 nan 0.0100 -0.0001
860 0.7935 nan 0.0100 -0.0000
880 0.7919 nan 0.0100 -0.0000
900 0.7903 nan 0.0100 -0.0001
920 0.7886 nan 0.0100 -0.0000
940 0.7872 nan 0.0100 -0.0000
960 0.7856 nan 0.0100 -0.0000
980 0.7842 nan 0.0100 -0.0000
1000 0.7827 nan 0.0100 -0.0000
1020 0.7812 nan 0.0100 -0.0000
1040 0.7800 nan 0.0100 -0.0000
1060 0.7788 nan 0.0100 -0.0000
1080 0.7774 nan 0.0100 -0.0000
1100 0.7761 nan 0.0100 -0.0000
- Fold07.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3236 nan 0.0100 0.0040
2 1.3158 nan 0.0100 0.0041
3 1.3085 nan 0.0100 0.0035
4 1.3015 nan 0.0100 0.0033
5 1.2939 nan 0.0100 0.0036
6 1.2866 nan 0.0100 0.0035
7 1.2796 nan 0.0100 0.0033
8 1.2728 nan 0.0100 0.0033
9 1.2657 nan 0.0100 0.0034
10 1.2587 nan 0.0100 0.0033
20 1.1978 nan 0.0100 0.0027
40 1.1070 nan 0.0100 0.0020
60 1.0416 nan 0.0100 0.0015
80 0.9922 nan 0.0100 0.0009
100 0.9539 nan 0.0100 0.0008
120 0.9237 nan 0.0100 0.0006
140 0.8997 nan 0.0100 0.0005
160 0.8812 nan 0.0100 0.0004
180 0.8664 nan 0.0100 0.0002
200 0.8526 nan 0.0100 0.0003
220 0.8415 nan 0.0100 0.0002
240 0.8312 nan 0.0100 0.0001
260 0.8225 nan 0.0100 0.0000
280 0.8143 nan 0.0100 0.0001
300 0.8076 nan 0.0100 0.0000
320 0.8015 nan 0.0100 -0.0000
340 0.7957 nan 0.0100 -0.0000
360 0.7903 nan 0.0100 0.0000
380 0.7850 nan 0.0100 -0.0000
400 0.7802 nan 0.0100 -0.0001
420 0.7755 nan 0.0100 -0.0000
440 0.7717 nan 0.0100 -0.0000
460 0.7676 nan 0.0100 -0.0001
480 0.7637 nan 0.0100 -0.0001
500 0.7600 nan 0.0100 -0.0001
520 0.7563 nan 0.0100 -0.0000
540 0.7531 nan 0.0100 -0.0000
560 0.7499 nan 0.0100 -0.0001
580 0.7465 nan 0.0100 -0.0000
600 0.7436 nan 0.0100 -0.0000
620 0.7411 nan 0.0100 -0.0001
640 0.7382 nan 0.0100 -0.0001
660 0.7356 nan 0.0100 -0.0001
680 0.7332 nan 0.0100 -0.0001
700 0.7309 nan 0.0100 -0.0001
720 0.7283 nan 0.0100 -0.0000
740 0.7264 nan 0.0100 -0.0001
760 0.7241 nan 0.0100 -0.0000
780 0.7218 nan 0.0100 -0.0001
800 0.7198 nan 0.0100 -0.0000
820 0.7171 nan 0.0100 -0.0001
840 0.7152 nan 0.0100 -0.0001
860 0.7129 nan 0.0100 -0.0001
880 0.7107 nan 0.0100 -0.0001
900 0.7084 nan 0.0100 -0.0000
920 0.7067 nan 0.0100 -0.0001
940 0.7048 nan 0.0100 -0.0001
960 0.7027 nan 0.0100 -0.0001
980 0.7010 nan 0.0100 -0.0001
1000 0.6989 nan 0.0100 -0.0000
1020 0.6967 nan 0.0100 -0.0001
1040 0.6948 nan 0.0100 -0.0001
1060 0.6929 nan 0.0100 0.0000
1080 0.6909 nan 0.0100 -0.0000
1100 0.6890 nan 0.0100 -0.0000
- Fold07.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3235 nan 0.0100 0.0042
2 1.3147 nan 0.0100 0.0044
3 1.3065 nan 0.0100 0.0040
4 1.2985 nan 0.0100 0.0038
5 1.2908 nan 0.0100 0.0039
6 1.2834 nan 0.0100 0.0035
7 1.2761 nan 0.0100 0.0036
8 1.2690 nan 0.0100 0.0033
9 1.2615 nan 0.0100 0.0038
10 1.2545 nan 0.0100 0.0034
20 1.1889 nan 0.0100 0.0029
40 1.0887 nan 0.0100 0.0020
60 1.0135 nan 0.0100 0.0015
80 0.9595 nan 0.0100 0.0011
100 0.9202 nan 0.0100 0.0008
120 0.8896 nan 0.0100 0.0005
140 0.8658 nan 0.0100 0.0004
160 0.8459 nan 0.0100 0.0003
180 0.8299 nan 0.0100 0.0001
200 0.8164 nan 0.0100 0.0002
220 0.8054 nan 0.0100 0.0001
240 0.7961 nan 0.0100 0.0001
260 0.7873 nan 0.0100 0.0001
280 0.7791 nan 0.0100 -0.0000
300 0.7714 nan 0.0100 -0.0000
320 0.7650 nan 0.0100 0.0001
340 0.7585 nan 0.0100 0.0000
360 0.7516 nan 0.0100 -0.0000
380 0.7451 nan 0.0100 -0.0002
400 0.7398 nan 0.0100 -0.0001
420 0.7348 nan 0.0100 -0.0001
440 0.7296 nan 0.0100 -0.0002
460 0.7244 nan 0.0100 -0.0000
480 0.7195 nan 0.0100 0.0000
500 0.7160 nan 0.0100 -0.0002
520 0.7114 nan 0.0100 -0.0002
540 0.7075 nan 0.0100 -0.0000
560 0.7041 nan 0.0100 -0.0000
580 0.7006 nan 0.0100 -0.0001
600 0.6973 nan 0.0100 -0.0002
620 0.6939 nan 0.0100 0.0000
640 0.6906 nan 0.0100 -0.0001
660 0.6872 nan 0.0100 -0.0002
680 0.6835 nan 0.0100 -0.0001
700 0.6805 nan 0.0100 -0.0001
720 0.6775 nan 0.0100 -0.0001
740 0.6744 nan 0.0100 -0.0001
760 0.6709 nan 0.0100 -0.0001
780 0.6675 nan 0.0100 -0.0001
800 0.6646 nan 0.0100 -0.0002
820 0.6619 nan 0.0100 0.0000
840 0.6588 nan 0.0100 -0.0002
860 0.6562 nan 0.0100 -0.0001
880 0.6533 nan 0.0100 -0.0001
900 0.6510 nan 0.0100 -0.0000
920 0.6482 nan 0.0100 -0.0001
940 0.6455 nan 0.0100 -0.0001
960 0.6435 nan 0.0100 -0.0001
980 0.6404 nan 0.0100 -0.0000
1000 0.6383 nan 0.0100 -0.0001
1020 0.6357 nan 0.0100 -0.0001
1040 0.6333 nan 0.0100 -0.0002
1060 0.6305 nan 0.0100 -0.0001
1080 0.6285 nan 0.0100 -0.0001
1100 0.6261 nan 0.0100 -0.0001
- Fold07.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2691 nan 0.1000 0.0303
2 1.2186 nan 0.1000 0.0244
3 1.1752 nan 0.1000 0.0191
4 1.1435 nan 0.1000 0.0149
5 1.1146 nan 0.1000 0.0135
6 1.0893 nan 0.1000 0.0106
7 1.0701 nan 0.1000 0.0085
8 1.0518 nan 0.1000 0.0078
9 1.0337 nan 0.1000 0.0073
10 1.0208 nan 0.1000 0.0067
20 0.9263 nan 0.1000 0.0019
40 0.8544 nan 0.1000 -0.0001
60 0.8227 nan 0.1000 -0.0003
80 0.8020 nan 0.1000 0.0000
100 0.7838 nan 0.1000 -0.0007
120 0.7725 nan 0.1000 -0.0002
140 0.7631 nan 0.1000 -0.0009
160 0.7546 nan 0.1000 -0.0013
180 0.7484 nan 0.1000 -0.0011
200 0.7413 nan 0.1000 -0.0006
220 0.7360 nan 0.1000 -0.0001
240 0.7311 nan 0.1000 -0.0007
260 0.7270 nan 0.1000 -0.0012
280 0.7235 nan 0.1000 -0.0009
300 0.7200 nan 0.1000 -0.0007
320 0.7152 nan 0.1000 -0.0005
340 0.7121 nan 0.1000 -0.0006
360 0.7088 nan 0.1000 -0.0011
380 0.7050 nan 0.1000 -0.0003
400 0.7024 nan 0.1000 -0.0004
420 0.7004 nan 0.1000 -0.0012
440 0.6974 nan 0.1000 -0.0005
460 0.6942 nan 0.1000 -0.0006
480 0.6911 nan 0.1000 -0.0010
500 0.6876 nan 0.1000 -0.0010
520 0.6848 nan 0.1000 -0.0011
540 0.6824 nan 0.1000 -0.0006
560 0.6783 nan 0.1000 -0.0004
580 0.6754 nan 0.1000 -0.0003
600 0.6735 nan 0.1000 -0.0006
620 0.6713 nan 0.1000 -0.0011
640 0.6689 nan 0.1000 -0.0003
660 0.6664 nan 0.1000 -0.0008
680 0.6636 nan 0.1000 -0.0012
700 0.6612 nan 0.1000 -0.0009
720 0.6581 nan 0.1000 -0.0006
740 0.6572 nan 0.1000 -0.0005
760 0.6556 nan 0.1000 -0.0006
780 0.6539 nan 0.1000 -0.0007
800 0.6523 nan 0.1000 -0.0009
820 0.6513 nan 0.1000 -0.0011
840 0.6495 nan 0.1000 -0.0006
860 0.6488 nan 0.1000 -0.0007
880 0.6473 nan 0.1000 -0.0008
900 0.6460 nan 0.1000 -0.0014
920 0.6448 nan 0.1000 -0.0010
940 0.6433 nan 0.1000 -0.0010
960 0.6421 nan 0.1000 -0.0009
980 0.6402 nan 0.1000 -0.0008
1000 0.6399 nan 0.1000 -0.0015
1020 0.6389 nan 0.1000 -0.0006
1040 0.6373 nan 0.1000 -0.0007
1060 0.6357 nan 0.1000 -0.0005
1080 0.6345 nan 0.1000 -0.0012
1100 0.6330 nan 0.1000 -0.0003
- Fold07.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2511 nan 0.1000 0.0352
2 1.1947 nan 0.1000 0.0300
3 1.1390 nan 0.1000 0.0226
4 1.0988 nan 0.1000 0.0174
5 1.0634 nan 0.1000 0.0166
6 1.0352 nan 0.1000 0.0144
7 1.0092 nan 0.1000 0.0132
8 0.9856 nan 0.1000 0.0109
9 0.9660 nan 0.1000 0.0089
10 0.9472 nan 0.1000 0.0083
20 0.8497 nan 0.1000 0.0015
40 0.7814 nan 0.1000 0.0012
60 0.7476 nan 0.1000 -0.0010
80 0.7192 nan 0.1000 -0.0007
100 0.6967 nan 0.1000 -0.0004
120 0.6813 nan 0.1000 -0.0011
140 0.6696 nan 0.1000 -0.0014
160 0.6558 nan 0.1000 -0.0009
180 0.6425 nan 0.1000 -0.0008
200 0.6289 nan 0.1000 -0.0013
220 0.6178 nan 0.1000 -0.0011
240 0.6072 nan 0.1000 -0.0018
260 0.5944 nan 0.1000 -0.0008
280 0.5850 nan 0.1000 -0.0002
300 0.5763 nan 0.1000 -0.0005
320 0.5672 nan 0.1000 -0.0004
340 0.5625 nan 0.1000 -0.0018
360 0.5574 nan 0.1000 -0.0004
380 0.5497 nan 0.1000 -0.0009
400 0.5444 nan 0.1000 -0.0004
420 0.5371 nan 0.1000 -0.0014
440 0.5309 nan 0.1000 -0.0009
460 0.5254 nan 0.1000 -0.0017
480 0.5197 nan 0.1000 -0.0012
500 0.5146 nan 0.1000 -0.0006
520 0.5078 nan 0.1000 -0.0003
540 0.5038 nan 0.1000 -0.0006
560 0.4981 nan 0.1000 -0.0004
580 0.4934 nan 0.1000 -0.0007
600 0.4882 nan 0.1000 -0.0006
620 0.4839 nan 0.1000 -0.0005
640 0.4797 nan 0.1000 -0.0006
660 0.4754 nan 0.1000 -0.0007
680 0.4707 nan 0.1000 -0.0011
700 0.4670 nan 0.1000 -0.0010
720 0.4616 nan 0.1000 -0.0009
740 0.4574 nan 0.1000 -0.0006
760 0.4533 nan 0.1000 -0.0015
780 0.4455 nan 0.1000 -0.0010
800 0.4413 nan 0.1000 -0.0005
820 0.4360 nan 0.1000 -0.0012
840 0.4317 nan 0.1000 -0.0003
860 0.4293 nan 0.1000 -0.0010
880 0.4254 nan 0.1000 -0.0007
900 0.4221 nan 0.1000 -0.0009
920 0.4185 nan 0.1000 -0.0007
940 0.4146 nan 0.1000 -0.0013
960 0.4111 nan 0.1000 -0.0016
980 0.4081 nan 0.1000 -0.0016
1000 0.4060 nan 0.1000 -0.0014
1020 0.4021 nan 0.1000 -0.0010
1040 0.3981 nan 0.1000 -0.0006
1060 0.3951 nan 0.1000 -0.0002
1080 0.3926 nan 0.1000 -0.0009
1100 0.3903 nan 0.1000 -0.0011
- Fold07.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2474 nan 0.1000 0.0385
2 1.1788 nan 0.1000 0.0343
3 1.1258 nan 0.1000 0.0250
4 1.0770 nan 0.1000 0.0194
5 1.0380 nan 0.1000 0.0174
6 1.0036 nan 0.1000 0.0126
7 0.9734 nan 0.1000 0.0141
8 0.9497 nan 0.1000 0.0108
9 0.9283 nan 0.1000 0.0079
10 0.9092 nan 0.1000 0.0096
20 0.8136 nan 0.1000 0.0036
40 0.7407 nan 0.1000 -0.0005
60 0.6987 nan 0.1000 -0.0008
80 0.6681 nan 0.1000 -0.0007
100 0.6410 nan 0.1000 -0.0016
120 0.6216 nan 0.1000 -0.0006
140 0.6000 nan 0.1000 -0.0010
160 0.5829 nan 0.1000 -0.0014
180 0.5641 nan 0.1000 -0.0020
200 0.5490 nan 0.1000 -0.0006
220 0.5352 nan 0.1000 -0.0011
240 0.5232 nan 0.1000 -0.0004
260 0.5076 nan 0.1000 -0.0005
280 0.4968 nan 0.1000 -0.0008
300 0.4876 nan 0.1000 -0.0010
320 0.4744 nan 0.1000 -0.0016
340 0.4621 nan 0.1000 -0.0015
360 0.4531 nan 0.1000 -0.0010
380 0.4457 nan 0.1000 -0.0012
400 0.4369 nan 0.1000 -0.0010
420 0.4280 nan 0.1000 -0.0015
440 0.4190 nan 0.1000 -0.0009
460 0.4107 nan 0.1000 -0.0007
480 0.4029 nan 0.1000 -0.0015
500 0.3952 nan 0.1000 -0.0011
520 0.3871 nan 0.1000 -0.0012
540 0.3823 nan 0.1000 -0.0014
560 0.3769 nan 0.1000 -0.0007
580 0.3701 nan 0.1000 -0.0008
600 0.3640 nan 0.1000 -0.0012
620 0.3590 nan 0.1000 -0.0007
640 0.3526 nan 0.1000 -0.0016
660 0.3471 nan 0.1000 -0.0010
680 0.3416 nan 0.1000 -0.0011
700 0.3355 nan 0.1000 -0.0007
720 0.3266 nan 0.1000 -0.0007
740 0.3225 nan 0.1000 -0.0006
760 0.3183 nan 0.1000 -0.0007
780 0.3127 nan 0.1000 -0.0007
800 0.3083 nan 0.1000 -0.0005
820 0.3044 nan 0.1000 -0.0009
840 0.2995 nan 0.1000 -0.0016
860 0.2935 nan 0.1000 -0.0006
880 0.2900 nan 0.1000 -0.0005
900 0.2869 nan 0.1000 -0.0006
920 0.2844 nan 0.1000 -0.0010
940 0.2817 nan 0.1000 -0.0007
960 0.2785 nan 0.1000 -0.0005
980 0.2747 nan 0.1000 -0.0014
1000 0.2711 nan 0.1000 -0.0005
1020 0.2692 nan 0.1000 -0.0016
1040 0.2659 nan 0.1000 -0.0003
1060 0.2621 nan 0.1000 -0.0008
1080 0.2580 nan 0.1000 -0.0006
1100 0.2552 nan 0.1000 -0.0006
- Fold07.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3259 nan 0.0100 0.0030
2 1.3199 nan 0.0100 0.0030
3 1.3137 nan 0.0100 0.0029
4 1.3075 nan 0.0100 0.0029
5 1.3016 nan 0.0100 0.0028
6 1.2963 nan 0.0100 0.0028
7 1.2910 nan 0.0100 0.0027
8 1.2856 nan 0.0100 0.0027
9 1.2791 nan 0.0100 0.0027
10 1.2739 nan 0.0100 0.0026
20 1.2257 nan 0.0100 0.0021
40 1.1550 nan 0.0100 0.0015
60 1.1050 nan 0.0100 0.0011
80 1.0663 nan 0.0100 0.0007
100 1.0353 nan 0.0100 0.0006
120 1.0103 nan 0.0100 0.0005
140 0.9886 nan 0.0100 0.0003
160 0.9705 nan 0.0100 0.0004
180 0.9551 nan 0.0100 0.0003
200 0.9415 nan 0.0100 0.0002
220 0.9290 nan 0.0100 0.0002
240 0.9175 nan 0.0100 0.0002
260 0.9077 nan 0.0100 0.0002
280 0.8986 nan 0.0100 0.0002
300 0.8910 nan 0.0100 0.0000
320 0.8839 nan 0.0100 0.0001
340 0.8770 nan 0.0100 0.0001
360 0.8707 nan 0.0100 0.0001
380 0.8655 nan 0.0100 0.0000
400 0.8596 nan 0.0100 0.0001
420 0.8549 nan 0.0100 0.0000
440 0.8500 nan 0.0100 0.0000
460 0.8456 nan 0.0100 -0.0000
480 0.8413 nan 0.0100 0.0001
500 0.8370 nan 0.0100 -0.0000
520 0.8332 nan 0.0100 -0.0001
540 0.8293 nan 0.0100 0.0001
560 0.8256 nan 0.0100 0.0000
580 0.8223 nan 0.0100 0.0001
600 0.8189 nan 0.0100 -0.0000
620 0.8156 nan 0.0100 -0.0000
640 0.8124 nan 0.0100 -0.0001
660 0.8097 nan 0.0100 -0.0001
680 0.8072 nan 0.0100 -0.0000
700 0.8047 nan 0.0100 0.0000
720 0.8024 nan 0.0100 0.0000
740 0.8000 nan 0.0100 -0.0000
760 0.7978 nan 0.0100 -0.0001
780 0.7956 nan 0.0100 -0.0000
800 0.7933 nan 0.0100 0.0000
820 0.7914 nan 0.0100 0.0000
840 0.7891 nan 0.0100 -0.0001
860 0.7872 nan 0.0100 -0.0001
880 0.7854 nan 0.0100 -0.0000
900 0.7834 nan 0.0100 -0.0001
920 0.7814 nan 0.0100 -0.0000
940 0.7795 nan 0.0100 -0.0001
960 0.7781 nan 0.0100 -0.0001
980 0.7767 nan 0.0100 0.0000
1000 0.7751 nan 0.0100 -0.0000
1020 0.7735 nan 0.0100 -0.0001
1040 0.7719 nan 0.0100 -0.0001
1060 0.7703 nan 0.0100 -0.0001
1080 0.7689 nan 0.0100 -0.0000
1100 0.7676 nan 0.0100 -0.0001
- Fold08.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3241 nan 0.0100 0.0038
2 1.3168 nan 0.0100 0.0034
3 1.3095 nan 0.0100 0.0037
4 1.3020 nan 0.0100 0.0036
5 1.2952 nan 0.0100 0.0034
6 1.2886 nan 0.0100 0.0034
7 1.2816 nan 0.0100 0.0035
8 1.2744 nan 0.0100 0.0032
9 1.2680 nan 0.0100 0.0034
10 1.2620 nan 0.0100 0.0030
20 1.2047 nan 0.0100 0.0024
40 1.1138 nan 0.0100 0.0020
60 1.0469 nan 0.0100 0.0012
80 0.9978 nan 0.0100 0.0011
100 0.9603 nan 0.0100 0.0008
120 0.9306 nan 0.0100 0.0004
140 0.9058 nan 0.0100 0.0004
160 0.8866 nan 0.0100 0.0002
180 0.8699 nan 0.0100 0.0003
200 0.8562 nan 0.0100 0.0003
220 0.8443 nan 0.0100 0.0003
240 0.8330 nan 0.0100 0.0001
260 0.8236 nan 0.0100 -0.0000
280 0.8157 nan 0.0100 0.0002
300 0.8083 nan 0.0100 0.0001
320 0.8019 nan 0.0100 0.0000
340 0.7952 nan 0.0100 0.0000
360 0.7885 nan 0.0100 0.0000
380 0.7832 nan 0.0100 -0.0000
400 0.7774 nan 0.0100 0.0000
420 0.7721 nan 0.0100 0.0001
440 0.7673 nan 0.0100 0.0000
460 0.7631 nan 0.0100 -0.0001
480 0.7587 nan 0.0100 -0.0000
500 0.7550 nan 0.0100 0.0001
520 0.7508 nan 0.0100 -0.0000
540 0.7472 nan 0.0100 -0.0001
560 0.7438 nan 0.0100 0.0001
580 0.7402 nan 0.0100 0.0000
600 0.7369 nan 0.0100 -0.0000
620 0.7332 nan 0.0100 -0.0000
640 0.7303 nan 0.0100 -0.0000
660 0.7275 nan 0.0100 -0.0002
680 0.7246 nan 0.0100 -0.0000
700 0.7218 nan 0.0100 -0.0001
720 0.7189 nan 0.0100 -0.0001
740 0.7163 nan 0.0100 -0.0000
760 0.7139 nan 0.0100 -0.0001
780 0.7111 nan 0.0100 -0.0001
800 0.7088 nan 0.0100 -0.0001
820 0.7064 nan 0.0100 -0.0002
840 0.7043 nan 0.0100 -0.0001
860 0.7019 nan 0.0100 -0.0000
880 0.6999 nan 0.0100 -0.0000
900 0.6976 nan 0.0100 -0.0001
920 0.6954 nan 0.0100 -0.0001
940 0.6933 nan 0.0100 -0.0002
960 0.6911 nan 0.0100 -0.0000
980 0.6894 nan 0.0100 -0.0001
1000 0.6875 nan 0.0100 -0.0001
1020 0.6858 nan 0.0100 -0.0000
1040 0.6842 nan 0.0100 -0.0000
1060 0.6824 nan 0.0100 -0.0002
1080 0.6805 nan 0.0100 -0.0001
1100 0.6786 nan 0.0100 -0.0000
- Fold08.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3242 nan 0.0100 0.0041
2 1.3160 nan 0.0100 0.0041
3 1.3076 nan 0.0100 0.0041
4 1.2996 nan 0.0100 0.0037
5 1.2918 nan 0.0100 0.0034
6 1.2849 nan 0.0100 0.0037
7 1.2776 nan 0.0100 0.0032
8 1.2704 nan 0.0100 0.0036
9 1.2627 nan 0.0100 0.0032
10 1.2555 nan 0.0100 0.0035
20 1.1912 nan 0.0100 0.0029
40 1.0931 nan 0.0100 0.0022
60 1.0192 nan 0.0100 0.0014
80 0.9655 nan 0.0100 0.0008
100 0.9245 nan 0.0100 0.0008
120 0.8940 nan 0.0100 0.0005
140 0.8686 nan 0.0100 0.0004
160 0.8486 nan 0.0100 0.0003
180 0.8324 nan 0.0100 0.0001
200 0.8175 nan 0.0100 0.0002
220 0.8040 nan 0.0100 0.0000
240 0.7926 nan 0.0100 0.0001
260 0.7823 nan 0.0100 0.0002
280 0.7734 nan 0.0100 0.0000
300 0.7653 nan 0.0100 0.0000
320 0.7574 nan 0.0100 -0.0000
340 0.7510 nan 0.0100 -0.0001
360 0.7444 nan 0.0100 -0.0001
380 0.7385 nan 0.0100 -0.0000
400 0.7325 nan 0.0100 -0.0001
420 0.7272 nan 0.0100 -0.0000
440 0.7224 nan 0.0100 -0.0000
460 0.7176 nan 0.0100 -0.0001
480 0.7138 nan 0.0100 -0.0000
500 0.7092 nan 0.0100 -0.0002
520 0.7048 nan 0.0100 -0.0000
540 0.7003 nan 0.0100 -0.0001
560 0.6964 nan 0.0100 0.0000
580 0.6926 nan 0.0100 -0.0001
600 0.6893 nan 0.0100 -0.0001
620 0.6853 nan 0.0100 -0.0002
640 0.6818 nan 0.0100 0.0000
660 0.6785 nan 0.0100 -0.0000
680 0.6755 nan 0.0100 -0.0000
700 0.6718 nan 0.0100 0.0000
720 0.6686 nan 0.0100 -0.0000
740 0.6655 nan 0.0100 -0.0001
760 0.6624 nan 0.0100 -0.0001
780 0.6592 nan 0.0100 -0.0000
800 0.6565 nan 0.0100 -0.0002
820 0.6536 nan 0.0100 -0.0001
840 0.6510 nan 0.0100 -0.0001
860 0.6480 nan 0.0100 -0.0001
880 0.6452 nan 0.0100 -0.0001
900 0.6422 nan 0.0100 -0.0001
920 0.6393 nan 0.0100 -0.0001
940 0.6368 nan 0.0100 -0.0002
960 0.6343 nan 0.0100 -0.0001
980 0.6321 nan 0.0100 -0.0001
1000 0.6296 nan 0.0100 -0.0001
1020 0.6273 nan 0.0100 -0.0001
1040 0.6252 nan 0.0100 -0.0001
1060 0.6230 nan 0.0100 -0.0001
1080 0.6205 nan 0.0100 -0.0001
1100 0.6180 nan 0.0100 -0.0001
- Fold08.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2761 nan 0.1000 0.0294
2 1.2276 nan 0.1000 0.0232
3 1.1875 nan 0.1000 0.0204
4 1.1550 nan 0.1000 0.0170
5 1.1289 nan 0.1000 0.0140
6 1.1114 nan 0.1000 0.0078
7 1.0904 nan 0.1000 0.0113
8 1.0698 nan 0.1000 0.0095
9 1.0543 nan 0.1000 0.0083
10 1.0394 nan 0.1000 0.0071
20 0.9376 nan 0.1000 0.0033
40 0.8587 nan 0.1000 0.0000
60 0.8186 nan 0.1000 -0.0011
80 0.7949 nan 0.1000 -0.0003
100 0.7764 nan 0.1000 -0.0011
120 0.7632 nan 0.1000 -0.0004
140 0.7537 nan 0.1000 -0.0004
160 0.7443 nan 0.1000 -0.0006
180 0.7341 nan 0.1000 -0.0011
200 0.7266 nan 0.1000 -0.0012
220 0.7219 nan 0.1000 -0.0008
240 0.7162 nan 0.1000 -0.0003
260 0.7113 nan 0.1000 -0.0002
280 0.7071 nan 0.1000 -0.0009
300 0.7020 nan 0.1000 -0.0011
320 0.6976 nan 0.1000 -0.0010
340 0.6931 nan 0.1000 -0.0015
360 0.6896 nan 0.1000 -0.0007
380 0.6851 nan 0.1000 -0.0013
400 0.6823 nan 0.1000 -0.0006
420 0.6800 nan 0.1000 -0.0008
440 0.6764 nan 0.1000 -0.0008
460 0.6729 nan 0.1000 -0.0008
480 0.6709 nan 0.1000 -0.0004
500 0.6680 nan 0.1000 -0.0007
520 0.6650 nan 0.1000 -0.0008
540 0.6624 nan 0.1000 -0.0006
560 0.6605 nan 0.1000 -0.0006
580 0.6594 nan 0.1000 -0.0010
600 0.6568 nan 0.1000 -0.0010
620 0.6551 nan 0.1000 -0.0010
640 0.6532 nan 0.1000 -0.0009
660 0.6493 nan 0.1000 -0.0011
680 0.6472 nan 0.1000 -0.0008
700 0.6455 nan 0.1000 -0.0013
720 0.6439 nan 0.1000 -0.0007
740 0.6436 nan 0.1000 -0.0003
760 0.6413 nan 0.1000 -0.0005
780 0.6390 nan 0.1000 -0.0006
800 0.6377 nan 0.1000 -0.0007
820 0.6354 nan 0.1000 -0.0007
840 0.6330 nan 0.1000 -0.0003
860 0.6317 nan 0.1000 -0.0004
880 0.6303 nan 0.1000 -0.0012
900 0.6290 nan 0.1000 -0.0003
920 0.6276 nan 0.1000 -0.0008
940 0.6253 nan 0.1000 -0.0009
960 0.6242 nan 0.1000 -0.0004
980 0.6227 nan 0.1000 -0.0007
1000 0.6223 nan 0.1000 -0.0006
1020 0.6214 nan 0.1000 -0.0006
1040 0.6194 nan 0.1000 -0.0005
1060 0.6179 nan 0.1000 -0.0005
1080 0.6165 nan 0.1000 -0.0006
1100 0.6140 nan 0.1000 -0.0005
- Fold08.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2543 nan 0.1000 0.0347
2 1.1960 nan 0.1000 0.0274
3 1.1435 nan 0.1000 0.0248
4 1.1018 nan 0.1000 0.0194
5 1.0646 nan 0.1000 0.0160
6 1.0315 nan 0.1000 0.0132
7 1.0038 nan 0.1000 0.0124
8 0.9831 nan 0.1000 0.0094
9 0.9640 nan 0.1000 0.0091
10 0.9492 nan 0.1000 0.0053
20 0.8500 nan 0.1000 0.0019
40 0.7759 nan 0.1000 0.0004
60 0.7421 nan 0.1000 0.0001
80 0.7139 nan 0.1000 -0.0015
100 0.6909 nan 0.1000 -0.0012
120 0.6709 nan 0.1000 -0.0005
140 0.6566 nan 0.1000 -0.0015
160 0.6434 nan 0.1000 -0.0011
180 0.6313 nan 0.1000 -0.0009
200 0.6189 nan 0.1000 -0.0004
220 0.6078 nan 0.1000 -0.0013
240 0.5968 nan 0.1000 -0.0007
260 0.5852 nan 0.1000 -0.0005
280 0.5770 nan 0.1000 -0.0015
300 0.5703 nan 0.1000 -0.0007
320 0.5616 nan 0.1000 -0.0008
340 0.5531 nan 0.1000 -0.0019
360 0.5465 nan 0.1000 -0.0013
380 0.5380 nan 0.1000 -0.0008
400 0.5301 nan 0.1000 -0.0009
420 0.5196 nan 0.1000 0.0000
440 0.5124 nan 0.1000 -0.0009
460 0.5076 nan 0.1000 -0.0014
480 0.5017 nan 0.1000 -0.0010
500 0.4964 nan 0.1000 -0.0014
520 0.4918 nan 0.1000 -0.0003
540 0.4836 nan 0.1000 -0.0004
560 0.4781 nan 0.1000 -0.0017
580 0.4743 nan 0.1000 -0.0002
600 0.4707 nan 0.1000 -0.0005
620 0.4650 nan 0.1000 -0.0003
640 0.4619 nan 0.1000 -0.0010
660 0.4572 nan 0.1000 -0.0008
680 0.4562 nan 0.1000 -0.0007
700 0.4517 nan 0.1000 -0.0014
720 0.4470 nan 0.1000 -0.0005
740 0.4441 nan 0.1000 -0.0005
760 0.4406 nan 0.1000 -0.0005
780 0.4353 nan 0.1000 -0.0007
800 0.4323 nan 0.1000 -0.0006
820 0.4283 nan 0.1000 -0.0014
840 0.4257 nan 0.1000 -0.0017
860 0.4229 nan 0.1000 -0.0013
880 0.4193 nan 0.1000 -0.0007
900 0.4155 nan 0.1000 -0.0012
920 0.4116 nan 0.1000 -0.0008
940 0.4074 nan 0.1000 -0.0007
960 0.4046 nan 0.1000 -0.0004
980 0.4011 nan 0.1000 -0.0005
1000 0.3988 nan 0.1000 -0.0013
1020 0.3947 nan 0.1000 -0.0006
1040 0.3911 nan 0.1000 -0.0006
1060 0.3880 nan 0.1000 -0.0010
1080 0.3858 nan 0.1000 -0.0005
1100 0.3822 nan 0.1000 -0.0004
- Fold08.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2495 nan 0.1000 0.0365
2 1.1874 nan 0.1000 0.0285
3 1.1341 nan 0.1000 0.0261
4 1.0853 nan 0.1000 0.0208
5 1.0496 nan 0.1000 0.0191
6 1.0151 nan 0.1000 0.0173
7 0.9852 nan 0.1000 0.0146
8 0.9592 nan 0.1000 0.0112
9 0.9384 nan 0.1000 0.0071
10 0.9211 nan 0.1000 0.0085
20 0.8200 nan 0.1000 0.0010
40 0.7384 nan 0.1000 -0.0007
60 0.6913 nan 0.1000 -0.0012
80 0.6573 nan 0.1000 -0.0014
100 0.6279 nan 0.1000 -0.0018
120 0.6049 nan 0.1000 -0.0007
140 0.5820 nan 0.1000 -0.0029
160 0.5670 nan 0.1000 -0.0015
180 0.5527 nan 0.1000 -0.0017
200 0.5378 nan 0.1000 -0.0017
220 0.5231 nan 0.1000 -0.0012
240 0.5127 nan 0.1000 -0.0018
260 0.5019 nan 0.1000 -0.0005
280 0.4924 nan 0.1000 -0.0025
300 0.4833 nan 0.1000 -0.0002
320 0.4715 nan 0.1000 -0.0010
340 0.4612 nan 0.1000 -0.0006
360 0.4526 nan 0.1000 -0.0014
380 0.4440 nan 0.1000 -0.0016
400 0.4338 nan 0.1000 -0.0013
420 0.4244 nan 0.1000 -0.0014
440 0.4149 nan 0.1000 -0.0008
460 0.4076 nan 0.1000 -0.0017
480 0.4008 nan 0.1000 -0.0012
500 0.3926 nan 0.1000 -0.0005
520 0.3866 nan 0.1000 -0.0012
540 0.3804 nan 0.1000 -0.0006
560 0.3737 nan 0.1000 -0.0009
580 0.3698 nan 0.1000 -0.0018
600 0.3637 nan 0.1000 -0.0008
620 0.3588 nan 0.1000 -0.0014
640 0.3518 nan 0.1000 -0.0013
660 0.3486 nan 0.1000 -0.0009
680 0.3440 nan 0.1000 -0.0010
700 0.3391 nan 0.1000 -0.0013
720 0.3342 nan 0.1000 -0.0013
740 0.3294 nan 0.1000 -0.0015
760 0.3248 nan 0.1000 -0.0011
780 0.3192 nan 0.1000 -0.0009
800 0.3151 nan 0.1000 -0.0012
820 0.3114 nan 0.1000 -0.0008
840 0.3087 nan 0.1000 -0.0006
860 0.3055 nan 0.1000 -0.0017
880 0.3001 nan 0.1000 -0.0008
900 0.2956 nan 0.1000 -0.0011
920 0.2917 nan 0.1000 -0.0011
940 0.2873 nan 0.1000 -0.0014
960 0.2840 nan 0.1000 -0.0005
980 0.2800 nan 0.1000 -0.0005
1000 0.2766 nan 0.1000 -0.0011
1020 0.2732 nan 0.1000 -0.0006
1040 0.2698 nan 0.1000 -0.0009
1060 0.2667 nan 0.1000 -0.0009
1080 0.2639 nan 0.1000 -0.0011
1100 0.2608 nan 0.1000 -0.0011
- Fold08.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3269 nan 0.0100 0.0028
2 1.3206 nan 0.0100 0.0029
3 1.3144 nan 0.0100 0.0029
4 1.3085 nan 0.0100 0.0028
5 1.3026 nan 0.0100 0.0027
6 1.2968 nan 0.0100 0.0026
7 1.2916 nan 0.0100 0.0026
8 1.2866 nan 0.0100 0.0025
9 1.2813 nan 0.0100 0.0025
10 1.2760 nan 0.0100 0.0025
20 1.2321 nan 0.0100 0.0019
40 1.1649 nan 0.0100 0.0014
60 1.1177 nan 0.0100 0.0010
80 1.0824 nan 0.0100 0.0007
100 1.0539 nan 0.0100 0.0006
120 1.0301 nan 0.0100 0.0004
140 1.0107 nan 0.0100 0.0004
160 0.9941 nan 0.0100 0.0003
180 0.9796 nan 0.0100 0.0003
200 0.9671 nan 0.0100 0.0001
220 0.9562 nan 0.0100 0.0002
240 0.9456 nan 0.0100 0.0002
260 0.9361 nan 0.0100 0.0002
280 0.9276 nan 0.0100 0.0001
300 0.9202 nan 0.0100 0.0001
320 0.9134 nan 0.0100 0.0001
340 0.9074 nan 0.0100 0.0001
360 0.9009 nan 0.0100 0.0001
380 0.8957 nan 0.0100 0.0001
400 0.8909 nan 0.0100 0.0000
420 0.8861 nan 0.0100 0.0001
440 0.8815 nan 0.0100 0.0000
460 0.8772 nan 0.0100 0.0000
480 0.8730 nan 0.0100 0.0000
500 0.8691 nan 0.0100 -0.0000
520 0.8654 nan 0.0100 -0.0000
540 0.8617 nan 0.0100 0.0000
560 0.8585 nan 0.0100 0.0000
580 0.8553 nan 0.0100 0.0000
600 0.8525 nan 0.0100 -0.0000
620 0.8498 nan 0.0100 -0.0000
640 0.8468 nan 0.0100 0.0000
660 0.8441 nan 0.0100 -0.0000
680 0.8414 nan 0.0100 -0.0001
700 0.8390 nan 0.0100 -0.0001
720 0.8364 nan 0.0100 -0.0000
740 0.8342 nan 0.0100 -0.0000
760 0.8319 nan 0.0100 0.0000
780 0.8297 nan 0.0100 -0.0001
800 0.8279 nan 0.0100 -0.0000
820 0.8256 nan 0.0100 -0.0000
840 0.8236 nan 0.0100 0.0000
860 0.8215 nan 0.0100 -0.0001
880 0.8196 nan 0.0100 -0.0000
900 0.8178 nan 0.0100 -0.0000
920 0.8162 nan 0.0100 -0.0001
940 0.8146 nan 0.0100 -0.0000
960 0.8130 nan 0.0100 -0.0001
980 0.8114 nan 0.0100 -0.0001
1000 0.8099 nan 0.0100 -0.0001
1020 0.8082 nan 0.0100 -0.0001
1040 0.8068 nan 0.0100 -0.0000
1060 0.8054 nan 0.0100 0.0000
1080 0.8040 nan 0.0100 -0.0001
1100 0.8027 nan 0.0100 -0.0000
- Fold09.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3249 nan 0.0100 0.0034
2 1.3172 nan 0.0100 0.0033
3 1.3097 nan 0.0100 0.0035
4 1.3025 nan 0.0100 0.0033
5 1.2960 nan 0.0100 0.0033
6 1.2892 nan 0.0100 0.0032
7 1.2828 nan 0.0100 0.0028
8 1.2763 nan 0.0100 0.0031
9 1.2709 nan 0.0100 0.0027
10 1.2646 nan 0.0100 0.0030
20 1.2100 nan 0.0100 0.0025
40 1.1249 nan 0.0100 0.0018
60 1.0621 nan 0.0100 0.0013
80 1.0159 nan 0.0100 0.0009
100 0.9811 nan 0.0100 0.0006
120 0.9546 nan 0.0100 0.0004
140 0.9333 nan 0.0100 0.0004
160 0.9157 nan 0.0100 0.0003
180 0.9006 nan 0.0100 0.0001
200 0.8876 nan 0.0100 0.0002
220 0.8763 nan 0.0100 0.0002
240 0.8659 nan 0.0100 0.0002
260 0.8568 nan 0.0100 0.0001
280 0.8476 nan 0.0100 0.0001
300 0.8395 nan 0.0100 0.0002
320 0.8326 nan 0.0100 0.0001
340 0.8257 nan 0.0100 0.0002
360 0.8196 nan 0.0100 0.0000
380 0.8139 nan 0.0100 -0.0000
400 0.8085 nan 0.0100 -0.0000
420 0.8036 nan 0.0100 -0.0000
440 0.7987 nan 0.0100 -0.0000
460 0.7940 nan 0.0100 0.0001
480 0.7897 nan 0.0100 -0.0002
500 0.7855 nan 0.0100 -0.0000
520 0.7821 nan 0.0100 -0.0001
540 0.7781 nan 0.0100 -0.0000
560 0.7744 nan 0.0100 -0.0001
580 0.7708 nan 0.0100 -0.0000
600 0.7677 nan 0.0100 -0.0000
620 0.7641 nan 0.0100 -0.0001
640 0.7608 nan 0.0100 -0.0001
660 0.7582 nan 0.0100 -0.0001
680 0.7551 nan 0.0100 -0.0001
700 0.7529 nan 0.0100 -0.0001
720 0.7509 nan 0.0100 -0.0001
740 0.7485 nan 0.0100 -0.0000
760 0.7458 nan 0.0100 -0.0001
780 0.7433 nan 0.0100 -0.0000
800 0.7413 nan 0.0100 -0.0000
820 0.7393 nan 0.0100 -0.0000
840 0.7369 nan 0.0100 0.0000
860 0.7347 nan 0.0100 -0.0001
880 0.7330 nan 0.0100 -0.0001
900 0.7309 nan 0.0100 -0.0000
920 0.7288 nan 0.0100 -0.0001
940 0.7266 nan 0.0100 -0.0001
960 0.7243 nan 0.0100 -0.0001
980 0.7224 nan 0.0100 -0.0000
1000 0.7206 nan 0.0100 -0.0002
1020 0.7188 nan 0.0100 -0.0001
1040 0.7169 nan 0.0100 -0.0001
1060 0.7150 nan 0.0100 -0.0000
1080 0.7135 nan 0.0100 -0.0000
1100 0.7114 nan 0.0100 -0.0000
- Fold09.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3236 nan 0.0100 0.0038
2 1.3158 nan 0.0100 0.0038
3 1.3079 nan 0.0100 0.0039
4 1.3010 nan 0.0100 0.0036
5 1.2935 nan 0.0100 0.0035
6 1.2863 nan 0.0100 0.0036
7 1.2790 nan 0.0100 0.0032
8 1.2722 nan 0.0100 0.0033
9 1.2652 nan 0.0100 0.0033
10 1.2590 nan 0.0100 0.0032
20 1.1986 nan 0.0100 0.0027
40 1.1039 nan 0.0100 0.0019
60 1.0361 nan 0.0100 0.0014
80 0.9863 nan 0.0100 0.0010
100 0.9471 nan 0.0100 0.0006
120 0.9169 nan 0.0100 0.0005
140 0.8917 nan 0.0100 0.0004
160 0.8722 nan 0.0100 0.0003
180 0.8567 nan 0.0100 0.0003
200 0.8434 nan 0.0100 0.0001
220 0.8310 nan 0.0100 0.0001
240 0.8204 nan 0.0100 0.0001
260 0.8112 nan 0.0100 -0.0000
280 0.8022 nan 0.0100 0.0001
300 0.7944 nan 0.0100 -0.0001
320 0.7872 nan 0.0100 -0.0001
340 0.7807 nan 0.0100 -0.0001
360 0.7745 nan 0.0100 -0.0002
380 0.7683 nan 0.0100 -0.0000
400 0.7628 nan 0.0100 -0.0001
420 0.7584 nan 0.0100 -0.0000
440 0.7531 nan 0.0100 -0.0000
460 0.7485 nan 0.0100 -0.0000
480 0.7441 nan 0.0100 0.0000
500 0.7398 nan 0.0100 0.0001
520 0.7359 nan 0.0100 -0.0001
540 0.7321 nan 0.0100 -0.0000
560 0.7284 nan 0.0100 -0.0001
580 0.7248 nan 0.0100 -0.0001
600 0.7207 nan 0.0100 -0.0001
620 0.7169 nan 0.0100 -0.0001
640 0.7126 nan 0.0100 -0.0002
660 0.7091 nan 0.0100 -0.0001
680 0.7056 nan 0.0100 -0.0001
700 0.7026 nan 0.0100 -0.0002
720 0.6994 nan 0.0100 -0.0001
740 0.6966 nan 0.0100 -0.0002
760 0.6938 nan 0.0100 -0.0001
780 0.6910 nan 0.0100 -0.0001
800 0.6875 nan 0.0100 -0.0000
820 0.6846 nan 0.0100 -0.0001
840 0.6819 nan 0.0100 -0.0001
860 0.6791 nan 0.0100 -0.0001
880 0.6762 nan 0.0100 -0.0001
900 0.6738 nan 0.0100 -0.0000
920 0.6711 nan 0.0100 -0.0002
940 0.6682 nan 0.0100 -0.0001
960 0.6659 nan 0.0100 -0.0000
980 0.6632 nan 0.0100 -0.0000
1000 0.6607 nan 0.0100 -0.0001
1020 0.6586 nan 0.0100 -0.0001
1040 0.6558 nan 0.0100 -0.0001
1060 0.6530 nan 0.0100 -0.0002
1080 0.6508 nan 0.0100 -0.0001
1100 0.6488 nan 0.0100 -0.0001
- Fold09.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2756 nan 0.1000 0.0281
2 1.2300 nan 0.1000 0.0228
3 1.1925 nan 0.1000 0.0177
4 1.1652 nan 0.1000 0.0149
5 1.1397 nan 0.1000 0.0133
6 1.1184 nan 0.1000 0.0110
7 1.1011 nan 0.1000 0.0065
8 1.0831 nan 0.1000 0.0088
9 1.0657 nan 0.1000 0.0072
10 1.0513 nan 0.1000 0.0057
20 0.9664 nan 0.1000 0.0029
40 0.8895 nan 0.1000 0.0008
60 0.8514 nan 0.1000 0.0004
80 0.8288 nan 0.1000 -0.0009
100 0.8118 nan 0.1000 -0.0004
120 0.7981 nan 0.1000 -0.0012
140 0.7874 nan 0.1000 -0.0007
160 0.7792 nan 0.1000 -0.0005
180 0.7708 nan 0.1000 -0.0005
200 0.7653 nan 0.1000 -0.0005
220 0.7570 nan 0.1000 -0.0008
240 0.7510 nan 0.1000 -0.0005
260 0.7461 nan 0.1000 -0.0005
280 0.7418 nan 0.1000 -0.0007
300 0.7373 nan 0.1000 -0.0003
320 0.7343 nan 0.1000 -0.0005
340 0.7305 nan 0.1000 -0.0014
360 0.7259 nan 0.1000 -0.0008
380 0.7224 nan 0.1000 -0.0012
400 0.7207 nan 0.1000 -0.0010
420 0.7169 nan 0.1000 -0.0006
440 0.7138 nan 0.1000 -0.0004
460 0.7107 nan 0.1000 -0.0010
480 0.7081 nan 0.1000 -0.0009
500 0.7059 nan 0.1000 -0.0010
520 0.7041 nan 0.1000 -0.0015
540 0.7018 nan 0.1000 -0.0004
560 0.6981 nan 0.1000 -0.0005
580 0.6950 nan 0.1000 -0.0006
600 0.6933 nan 0.1000 -0.0008
620 0.6923 nan 0.1000 -0.0011
640 0.6910 nan 0.1000 -0.0004
660 0.6891 nan 0.1000 -0.0006
680 0.6877 nan 0.1000 -0.0005
700 0.6854 nan 0.1000 -0.0004
720 0.6828 nan 0.1000 -0.0012
740 0.6816 nan 0.1000 -0.0010
760 0.6799 nan 0.1000 -0.0016
780 0.6790 nan 0.1000 -0.0008
800 0.6772 nan 0.1000 -0.0007
820 0.6764 nan 0.1000 -0.0006
840 0.6746 nan 0.1000 -0.0008
860 0.6724 nan 0.1000 -0.0008
880 0.6710 nan 0.1000 -0.0007
900 0.6696 nan 0.1000 -0.0002
920 0.6683 nan 0.1000 -0.0002
940 0.6655 nan 0.1000 -0.0006
960 0.6633 nan 0.1000 -0.0007
980 0.6622 nan 0.1000 -0.0007
1000 0.6604 nan 0.1000 -0.0011
1020 0.6589 nan 0.1000 -0.0005
1040 0.6588 nan 0.1000 -0.0010
1060 0.6564 nan 0.1000 -0.0011
1080 0.6553 nan 0.1000 -0.0008
1100 0.6535 nan 0.1000 -0.0007
- Fold09.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2637 nan 0.1000 0.0339
2 1.2079 nan 0.1000 0.0273
3 1.1624 nan 0.1000 0.0222
4 1.1235 nan 0.1000 0.0203
5 1.0902 nan 0.1000 0.0164
6 1.0573 nan 0.1000 0.0143
7 1.0327 nan 0.1000 0.0114
8 1.0105 nan 0.1000 0.0097
9 0.9927 nan 0.1000 0.0082
10 0.9788 nan 0.1000 0.0054
20 0.8803 nan 0.1000 0.0017
40 0.8074 nan 0.1000 -0.0002
60 0.7685 nan 0.1000 -0.0011
80 0.7444 nan 0.1000 -0.0012
100 0.7220 nan 0.1000 -0.0012
120 0.7066 nan 0.1000 -0.0010
140 0.6919 nan 0.1000 -0.0018
160 0.6764 nan 0.1000 -0.0008
180 0.6646 nan 0.1000 -0.0009
200 0.6521 nan 0.1000 -0.0017
220 0.6420 nan 0.1000 -0.0012
240 0.6310 nan 0.1000 -0.0003
260 0.6194 nan 0.1000 -0.0011
280 0.6127 nan 0.1000 -0.0007
300 0.6032 nan 0.1000 -0.0006
320 0.5963 nan 0.1000 -0.0007
340 0.5898 nan 0.1000 -0.0012
360 0.5832 nan 0.1000 -0.0007
380 0.5763 nan 0.1000 -0.0009
400 0.5685 nan 0.1000 -0.0010
420 0.5607 nan 0.1000 -0.0001
440 0.5533 nan 0.1000 -0.0008
460 0.5454 nan 0.1000 -0.0009
480 0.5396 nan 0.1000 -0.0010
500 0.5330 nan 0.1000 -0.0009
520 0.5268 nan 0.1000 -0.0015
540 0.5205 nan 0.1000 -0.0017
560 0.5165 nan 0.1000 -0.0008
580 0.5112 nan 0.1000 -0.0010
600 0.5066 nan 0.1000 -0.0011
620 0.5016 nan 0.1000 -0.0004
640 0.4972 nan 0.1000 -0.0008
660 0.4945 nan 0.1000 -0.0010
680 0.4894 nan 0.1000 -0.0006
700 0.4823 nan 0.1000 -0.0009
720 0.4763 nan 0.1000 -0.0004
740 0.4719 nan 0.1000 -0.0010
760 0.4693 nan 0.1000 -0.0010
780 0.4651 nan 0.1000 -0.0006
800 0.4601 nan 0.1000 -0.0014
820 0.4569 nan 0.1000 -0.0005
840 0.4536 nan 0.1000 -0.0008
860 0.4505 nan 0.1000 -0.0005
880 0.4483 nan 0.1000 -0.0013
900 0.4431 nan 0.1000 -0.0009
920 0.4386 nan 0.1000 -0.0012
940 0.4347 nan 0.1000 -0.0005
960 0.4315 nan 0.1000 -0.0005
980 0.4280 nan 0.1000 -0.0008
1000 0.4259 nan 0.1000 -0.0011
1020 0.4210 nan 0.1000 -0.0005
1040 0.4170 nan 0.1000 -0.0010
1060 0.4139 nan 0.1000 -0.0007
1080 0.4114 nan 0.1000 -0.0013
1100 0.4085 nan 0.1000 -0.0011
- Fold09.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2582 nan 0.1000 0.0348
2 1.1946 nan 0.1000 0.0316
3 1.1389 nan 0.1000 0.0250
4 1.0964 nan 0.1000 0.0209
5 1.0651 nan 0.1000 0.0172
6 1.0350 nan 0.1000 0.0153
7 1.0051 nan 0.1000 0.0143
8 0.9834 nan 0.1000 0.0092
9 0.9642 nan 0.1000 0.0074
10 0.9475 nan 0.1000 0.0057
20 0.8448 nan 0.1000 0.0015
40 0.7616 nan 0.1000 -0.0004
60 0.7160 nan 0.1000 -0.0001
80 0.6855 nan 0.1000 -0.0008
100 0.6608 nan 0.1000 -0.0011
120 0.6395 nan 0.1000 -0.0003
140 0.6211 nan 0.1000 -0.0022
160 0.6028 nan 0.1000 -0.0008
180 0.5903 nan 0.1000 -0.0017
200 0.5749 nan 0.1000 -0.0021
220 0.5597 nan 0.1000 -0.0015
240 0.5496 nan 0.1000 -0.0014
260 0.5375 nan 0.1000 -0.0013
280 0.5243 nan 0.1000 -0.0008
300 0.5151 nan 0.1000 -0.0008
320 0.5039 nan 0.1000 -0.0006
340 0.4945 nan 0.1000 -0.0011
360 0.4839 nan 0.1000 -0.0012
380 0.4735 nan 0.1000 -0.0009
400 0.4629 nan 0.1000 -0.0007
420 0.4563 nan 0.1000 -0.0011
440 0.4487 nan 0.1000 -0.0009
460 0.4394 nan 0.1000 -0.0009
480 0.4345 nan 0.1000 -0.0011
500 0.4258 nan 0.1000 -0.0017
520 0.4193 nan 0.1000 -0.0005
540 0.4082 nan 0.1000 -0.0011
560 0.4017 nan 0.1000 -0.0009
580 0.3951 nan 0.1000 -0.0014
600 0.3885 nan 0.1000 -0.0016
620 0.3820 nan 0.1000 -0.0006
640 0.3759 nan 0.1000 -0.0013
660 0.3690 nan 0.1000 -0.0008
680 0.3637 nan 0.1000 -0.0020
700 0.3582 nan 0.1000 -0.0020
720 0.3509 nan 0.1000 -0.0010
740 0.3443 nan 0.1000 -0.0006
760 0.3404 nan 0.1000 -0.0021
780 0.3359 nan 0.1000 -0.0007
800 0.3303 nan 0.1000 -0.0009
820 0.3254 nan 0.1000 -0.0008
840 0.3203 nan 0.1000 -0.0007
860 0.3151 nan 0.1000 -0.0012
880 0.3117 nan 0.1000 -0.0006
900 0.3056 nan 0.1000 -0.0007
920 0.3033 nan 0.1000 -0.0009
940 0.2999 nan 0.1000 -0.0009
960 0.2955 nan 0.1000 -0.0011
980 0.2909 nan 0.1000 -0.0010
1000 0.2876 nan 0.1000 -0.0006
1020 0.2845 nan 0.1000 -0.0009
1040 0.2817 nan 0.1000 -0.0010
1060 0.2779 nan 0.1000 -0.0008
1080 0.2757 nan 0.1000 -0.0008
1100 0.2725 nan 0.1000 -0.0009
- Fold09.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3255 nan 0.0100 0.0030
2 1.3196 nan 0.0100 0.0029
3 1.3140 nan 0.0100 0.0029
4 1.3085 nan 0.0100 0.0028
5 1.3021 nan 0.0100 0.0027
6 1.2962 nan 0.0100 0.0028
7 1.2907 nan 0.0100 0.0024
8 1.2851 nan 0.0100 0.0026
9 1.2796 nan 0.0100 0.0024
10 1.2748 nan 0.0100 0.0025
20 1.2304 nan 0.0100 0.0021
40 1.1623 nan 0.0100 0.0014
60 1.1128 nan 0.0100 0.0009
80 1.0735 nan 0.0100 0.0008
100 1.0423 nan 0.0100 0.0007
120 1.0169 nan 0.0100 0.0004
140 0.9944 nan 0.0100 0.0005
160 0.9759 nan 0.0100 0.0004
180 0.9611 nan 0.0100 0.0003
200 0.9478 nan 0.0100 0.0003
220 0.9358 nan 0.0100 0.0002
240 0.9246 nan 0.0100 0.0001
260 0.9154 nan 0.0100 0.0002
280 0.9066 nan 0.0100 0.0001
300 0.8986 nan 0.0100 0.0002
320 0.8914 nan 0.0100 0.0001
340 0.8845 nan 0.0100 0.0001
360 0.8786 nan 0.0100 -0.0001
380 0.8729 nan 0.0100 0.0001
400 0.8675 nan 0.0100 0.0000
420 0.8625 nan 0.0100 0.0000
440 0.8582 nan 0.0100 0.0000
460 0.8536 nan 0.0100 0.0001
480 0.8493 nan 0.0100 0.0000
500 0.8455 nan 0.0100 0.0000
520 0.8415 nan 0.0100 0.0000
540 0.8379 nan 0.0100 -0.0000
560 0.8346 nan 0.0100 0.0000
580 0.8311 nan 0.0100 0.0000
600 0.8279 nan 0.0100 -0.0000
620 0.8247 nan 0.0100 -0.0000
640 0.8216 nan 0.0100 0.0000
660 0.8189 nan 0.0100 -0.0000
680 0.8162 nan 0.0100 -0.0001
700 0.8137 nan 0.0100 -0.0000
720 0.8110 nan 0.0100 -0.0001
740 0.8086 nan 0.0100 0.0000
760 0.8062 nan 0.0100 -0.0001
780 0.8038 nan 0.0100 -0.0001
800 0.8018 nan 0.0100 -0.0001
820 0.7996 nan 0.0100 0.0000
840 0.7975 nan 0.0100 0.0000
860 0.7954 nan 0.0100 -0.0000
880 0.7935 nan 0.0100 -0.0001
900 0.7919 nan 0.0100 -0.0000
920 0.7900 nan 0.0100 -0.0000
940 0.7884 nan 0.0100 -0.0000
960 0.7868 nan 0.0100 0.0000
980 0.7850 nan 0.0100 -0.0000
1000 0.7832 nan 0.0100 -0.0000
1020 0.7816 nan 0.0100 -0.0001
1040 0.7800 nan 0.0100 -0.0001
1060 0.7787 nan 0.0100 -0.0001
1080 0.7773 nan 0.0100 -0.0000
1100 0.7757 nan 0.0100 -0.0000
- Fold10.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3237 nan 0.0100 0.0037
2 1.3163 nan 0.0100 0.0038
3 1.3086 nan 0.0100 0.0033
4 1.3016 nan 0.0100 0.0034
5 1.2947 nan 0.0100 0.0034
6 1.2883 nan 0.0100 0.0032
7 1.2821 nan 0.0100 0.0032
8 1.2758 nan 0.0100 0.0029
9 1.2694 nan 0.0100 0.0031
10 1.2632 nan 0.0100 0.0031
20 1.2066 nan 0.0100 0.0024
40 1.1199 nan 0.0100 0.0019
60 1.0548 nan 0.0100 0.0014
80 1.0045 nan 0.0100 0.0010
100 0.9664 nan 0.0100 0.0007
120 0.9376 nan 0.0100 0.0004
140 0.9138 nan 0.0100 0.0003
160 0.8939 nan 0.0100 0.0003
180 0.8772 nan 0.0100 0.0001
200 0.8628 nan 0.0100 0.0001
220 0.8505 nan 0.0100 0.0003
240 0.8394 nan 0.0100 0.0001
260 0.8299 nan 0.0100 0.0001
280 0.8217 nan 0.0100 0.0001
300 0.8137 nan 0.0100 0.0001
320 0.8062 nan 0.0100 0.0001
340 0.8004 nan 0.0100 -0.0000
360 0.7940 nan 0.0100 0.0000
380 0.7879 nan 0.0100 -0.0000
400 0.7825 nan 0.0100 0.0000
420 0.7779 nan 0.0100 0.0000
440 0.7734 nan 0.0100 0.0000
460 0.7694 nan 0.0100 0.0000
480 0.7653 nan 0.0100 0.0000
500 0.7609 nan 0.0100 0.0000
520 0.7572 nan 0.0100 -0.0000
540 0.7541 nan 0.0100 -0.0001
560 0.7507 nan 0.0100 -0.0001
580 0.7474 nan 0.0100 -0.0001
600 0.7440 nan 0.0100 -0.0000
620 0.7411 nan 0.0100 -0.0000
640 0.7384 nan 0.0100 -0.0001
660 0.7356 nan 0.0100 -0.0000
680 0.7327 nan 0.0100 -0.0000
700 0.7297 nan 0.0100 -0.0000
720 0.7273 nan 0.0100 -0.0000
740 0.7250 nan 0.0100 -0.0001
760 0.7226 nan 0.0100 0.0000
780 0.7200 nan 0.0100 -0.0000
800 0.7178 nan 0.0100 -0.0001
820 0.7153 nan 0.0100 -0.0001
840 0.7131 nan 0.0100 -0.0000
860 0.7106 nan 0.0100 -0.0001
880 0.7084 nan 0.0100 -0.0001
900 0.7061 nan 0.0100 -0.0000
920 0.7041 nan 0.0100 -0.0001
940 0.7021 nan 0.0100 -0.0001
960 0.7003 nan 0.0100 -0.0002
980 0.6982 nan 0.0100 -0.0000
1000 0.6961 nan 0.0100 -0.0001
1020 0.6940 nan 0.0100 -0.0001
1040 0.6920 nan 0.0100 -0.0000
1060 0.6903 nan 0.0100 -0.0001
1080 0.6884 nan 0.0100 -0.0000
1100 0.6862 nan 0.0100 -0.0000
- Fold10.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3228 nan 0.0100 0.0039
2 1.3151 nan 0.0100 0.0037
3 1.3071 nan 0.0100 0.0036
4 1.2993 nan 0.0100 0.0038
5 1.2918 nan 0.0100 0.0038
6 1.2845 nan 0.0100 0.0036
7 1.2767 nan 0.0100 0.0037
8 1.2693 nan 0.0100 0.0036
9 1.2621 nan 0.0100 0.0032
10 1.2553 nan 0.0100 0.0033
20 1.1940 nan 0.0100 0.0026
40 1.0960 nan 0.0100 0.0018
60 1.0251 nan 0.0100 0.0015
80 0.9717 nan 0.0100 0.0010
100 0.9306 nan 0.0100 0.0008
120 0.8998 nan 0.0100 0.0003
140 0.8741 nan 0.0100 0.0004
160 0.8538 nan 0.0100 0.0003
180 0.8361 nan 0.0100 0.0002
200 0.8210 nan 0.0100 0.0002
220 0.8083 nan 0.0100 0.0000
240 0.7972 nan 0.0100 0.0000
260 0.7878 nan 0.0100 -0.0001
280 0.7789 nan 0.0100 0.0001
300 0.7710 nan 0.0100 0.0001
320 0.7629 nan 0.0100 0.0000
340 0.7557 nan 0.0100 0.0001
360 0.7492 nan 0.0100 -0.0000
380 0.7431 nan 0.0100 0.0000
400 0.7369 nan 0.0100 -0.0000
420 0.7319 nan 0.0100 -0.0002
440 0.7268 nan 0.0100 -0.0002
460 0.7217 nan 0.0100 -0.0001
480 0.7176 nan 0.0100 0.0000
500 0.7130 nan 0.0100 0.0000
520 0.7089 nan 0.0100 -0.0001
540 0.7048 nan 0.0100 -0.0001
560 0.7004 nan 0.0100 -0.0002
580 0.6969 nan 0.0100 -0.0002
600 0.6929 nan 0.0100 -0.0001
620 0.6889 nan 0.0100 -0.0001
640 0.6860 nan 0.0100 -0.0003
660 0.6826 nan 0.0100 -0.0001
680 0.6795 nan 0.0100 -0.0000
700 0.6767 nan 0.0100 -0.0001
720 0.6738 nan 0.0100 -0.0000
740 0.6709 nan 0.0100 -0.0000
760 0.6680 nan 0.0100 -0.0001
780 0.6651 nan 0.0100 -0.0001
800 0.6621 nan 0.0100 -0.0000
820 0.6595 nan 0.0100 -0.0001
840 0.6569 nan 0.0100 -0.0001
860 0.6546 nan 0.0100 -0.0002
880 0.6517 nan 0.0100 -0.0000
900 0.6487 nan 0.0100 -0.0001
920 0.6463 nan 0.0100 0.0000
940 0.6435 nan 0.0100 -0.0001
960 0.6411 nan 0.0100 -0.0002
980 0.6386 nan 0.0100 -0.0001
1000 0.6364 nan 0.0100 -0.0001
1020 0.6339 nan 0.0100 -0.0000
1040 0.6313 nan 0.0100 -0.0001
1060 0.6291 nan 0.0100 -0.0002
1080 0.6267 nan 0.0100 -0.0002
1100 0.6244 nan 0.0100 -0.0001
- Fold10.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2716 nan 0.1000 0.0281
2 1.2294 nan 0.1000 0.0219
3 1.1935 nan 0.1000 0.0196
4 1.1601 nan 0.1000 0.0165
5 1.1395 nan 0.1000 0.0089
6 1.1142 nan 0.1000 0.0113
7 1.0904 nan 0.1000 0.0108
8 1.0721 nan 0.1000 0.0092
9 1.0563 nan 0.1000 0.0072
10 1.0415 nan 0.1000 0.0069
20 0.9492 nan 0.1000 0.0002
40 0.8652 nan 0.1000 0.0007
60 0.8265 nan 0.1000 0.0001
80 0.8007 nan 0.1000 0.0003
100 0.7825 nan 0.1000 -0.0003
120 0.7687 nan 0.1000 -0.0003
140 0.7558 nan 0.1000 -0.0005
160 0.7475 nan 0.1000 0.0001
180 0.7394 nan 0.1000 -0.0012
200 0.7319 nan 0.1000 -0.0002
220 0.7271 nan 0.1000 -0.0017
240 0.7195 nan 0.1000 -0.0004
260 0.7137 nan 0.1000 -0.0016
280 0.7092 nan 0.1000 -0.0010
300 0.7059 nan 0.1000 -0.0004
320 0.7035 nan 0.1000 -0.0011
340 0.6979 nan 0.1000 -0.0002
360 0.6956 nan 0.1000 -0.0004
380 0.6928 nan 0.1000 -0.0011
400 0.6905 nan 0.1000 -0.0006
420 0.6876 nan 0.1000 -0.0007
440 0.6854 nan 0.1000 -0.0009
460 0.6814 nan 0.1000 -0.0004
480 0.6791 nan 0.1000 -0.0004
500 0.6774 nan 0.1000 -0.0004
520 0.6761 nan 0.1000 -0.0014
540 0.6735 nan 0.1000 -0.0014
560 0.6709 nan 0.1000 -0.0002
580 0.6688 nan 0.1000 -0.0013
600 0.6666 nan 0.1000 -0.0008
620 0.6655 nan 0.1000 -0.0005
640 0.6627 nan 0.1000 -0.0010
660 0.6605 nan 0.1000 -0.0013
680 0.6570 nan 0.1000 -0.0002
700 0.6550 nan 0.1000 -0.0009
720 0.6528 nan 0.1000 -0.0008
740 0.6524 nan 0.1000 -0.0008
760 0.6500 nan 0.1000 -0.0002
780 0.6484 nan 0.1000 -0.0008
800 0.6461 nan 0.1000 -0.0008
820 0.6441 nan 0.1000 -0.0008
840 0.6433 nan 0.1000 -0.0007
860 0.6417 nan 0.1000 -0.0004
880 0.6406 nan 0.1000 -0.0008
900 0.6384 nan 0.1000 -0.0006
920 0.6366 nan 0.1000 -0.0006
940 0.6355 nan 0.1000 -0.0008
960 0.6350 nan 0.1000 -0.0007
980 0.6334 nan 0.1000 -0.0003
1000 0.6313 nan 0.1000 -0.0015
1020 0.6300 nan 0.1000 -0.0005
1040 0.6291 nan 0.1000 -0.0008
1060 0.6276 nan 0.1000 -0.0006
1080 0.6264 nan 0.1000 -0.0010
1100 0.6247 nan 0.1000 -0.0004
- Fold10.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2598 nan 0.1000 0.0333
2 1.2017 nan 0.1000 0.0279
3 1.1512 nan 0.1000 0.0219
4 1.1105 nan 0.1000 0.0186
5 1.0789 nan 0.1000 0.0141
6 1.0488 nan 0.1000 0.0136
7 1.0253 nan 0.1000 0.0125
8 1.0058 nan 0.1000 0.0106
9 0.9819 nan 0.1000 0.0106
10 0.9648 nan 0.1000 0.0073
20 0.8695 nan 0.1000 0.0010
40 0.7900 nan 0.1000 -0.0011
60 0.7479 nan 0.1000 -0.0002
80 0.7188 nan 0.1000 -0.0008
100 0.6990 nan 0.1000 -0.0006
120 0.6830 nan 0.1000 -0.0000
140 0.6689 nan 0.1000 -0.0007
160 0.6533 nan 0.1000 -0.0007
180 0.6377 nan 0.1000 -0.0018
200 0.6242 nan 0.1000 -0.0010
220 0.6110 nan 0.1000 -0.0012
240 0.5981 nan 0.1000 -0.0009
260 0.5886 nan 0.1000 -0.0002
280 0.5803 nan 0.1000 -0.0009
300 0.5742 nan 0.1000 -0.0016
320 0.5657 nan 0.1000 -0.0011
340 0.5579 nan 0.1000 -0.0006
360 0.5505 nan 0.1000 -0.0009
380 0.5448 nan 0.1000 -0.0011
400 0.5376 nan 0.1000 -0.0013
420 0.5316 nan 0.1000 -0.0008
440 0.5244 nan 0.1000 -0.0012
460 0.5172 nan 0.1000 -0.0003
480 0.5122 nan 0.1000 -0.0010
500 0.5080 nan 0.1000 -0.0007
520 0.5012 nan 0.1000 -0.0008
540 0.4961 nan 0.1000 -0.0005
560 0.4922 nan 0.1000 -0.0007
580 0.4876 nan 0.1000 -0.0006
600 0.4841 nan 0.1000 -0.0011
620 0.4788 nan 0.1000 -0.0009
640 0.4737 nan 0.1000 -0.0012
660 0.4703 nan 0.1000 -0.0006
680 0.4657 nan 0.1000 -0.0007
700 0.4617 nan 0.1000 -0.0006
720 0.4556 nan 0.1000 -0.0006
740 0.4526 nan 0.1000 -0.0017
760 0.4483 nan 0.1000 -0.0006
780 0.4467 nan 0.1000 -0.0009
800 0.4428 nan 0.1000 -0.0009
820 0.4399 nan 0.1000 -0.0012
840 0.4345 nan 0.1000 -0.0010
860 0.4304 nan 0.1000 -0.0003
880 0.4242 nan 0.1000 -0.0005
900 0.4221 nan 0.1000 -0.0011
920 0.4200 nan 0.1000 -0.0012
940 0.4169 nan 0.1000 -0.0009
960 0.4140 nan 0.1000 -0.0011
980 0.4120 nan 0.1000 -0.0005
1000 0.4078 nan 0.1000 -0.0007
1020 0.4048 nan 0.1000 -0.0011
1040 0.4013 nan 0.1000 -0.0001
1060 0.3984 nan 0.1000 -0.0005
1080 0.3956 nan 0.1000 -0.0006
1100 0.3926 nan 0.1000 -0.0013
- Fold10.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2473 nan 0.1000 0.0355
2 1.1886 nan 0.1000 0.0298
3 1.1347 nan 0.1000 0.0263
4 1.0888 nan 0.1000 0.0219
5 1.0539 nan 0.1000 0.0174
6 1.0218 nan 0.1000 0.0151
7 0.9910 nan 0.1000 0.0149
8 0.9683 nan 0.1000 0.0103
9 0.9519 nan 0.1000 0.0068
10 0.9331 nan 0.1000 0.0065
20 0.8283 nan 0.1000 0.0000
40 0.7438 nan 0.1000 -0.0011
60 0.7045 nan 0.1000 -0.0013
80 0.6715 nan 0.1000 -0.0014
100 0.6454 nan 0.1000 -0.0025
120 0.6189 nan 0.1000 -0.0011
140 0.5983 nan 0.1000 -0.0007
160 0.5782 nan 0.1000 -0.0011
180 0.5609 nan 0.1000 -0.0013
200 0.5462 nan 0.1000 -0.0004
220 0.5307 nan 0.1000 -0.0014
240 0.5182 nan 0.1000 -0.0021
260 0.5025 nan 0.1000 -0.0008
280 0.4893 nan 0.1000 -0.0011
300 0.4792 nan 0.1000 -0.0017
320 0.4674 nan 0.1000 -0.0007
340 0.4557 nan 0.1000 -0.0005
360 0.4461 nan 0.1000 -0.0010
380 0.4379 nan 0.1000 -0.0006
400 0.4282 nan 0.1000 -0.0018
420 0.4207 nan 0.1000 -0.0010
440 0.4095 nan 0.1000 -0.0007
460 0.4020 nan 0.1000 -0.0024
480 0.3931 nan 0.1000 -0.0002
500 0.3860 nan 0.1000 -0.0007
520 0.3783 nan 0.1000 -0.0006
540 0.3728 nan 0.1000 -0.0012
560 0.3647 nan 0.1000 -0.0010
580 0.3602 nan 0.1000 -0.0007
600 0.3543 nan 0.1000 -0.0014
620 0.3474 nan 0.1000 -0.0015
640 0.3434 nan 0.1000 -0.0016
660 0.3387 nan 0.1000 -0.0010
680 0.3327 nan 0.1000 -0.0006
700 0.3268 nan 0.1000 -0.0008
720 0.3203 nan 0.1000 -0.0018
740 0.3144 nan 0.1000 -0.0009
760 0.3101 nan 0.1000 -0.0012
780 0.3063 nan 0.1000 -0.0008
800 0.3020 nan 0.1000 -0.0003
820 0.2989 nan 0.1000 -0.0012
840 0.2955 nan 0.1000 -0.0007
860 0.2903 nan 0.1000 -0.0011
880 0.2858 nan 0.1000 -0.0007
900 0.2832 nan 0.1000 -0.0008
920 0.2784 nan 0.1000 -0.0015
940 0.2748 nan 0.1000 -0.0006
960 0.2712 nan 0.1000 -0.0011
980 0.2676 nan 0.1000 -0.0003
1000 0.2644 nan 0.1000 -0.0004
1020 0.2612 nan 0.1000 -0.0009
1040 0.2586 nan 0.1000 -0.0008
1060 0.2558 nan 0.1000 -0.0009
1080 0.2521 nan 0.1000 -0.0004
1100 0.2496 nan 0.1000 -0.0010
- Fold10.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3260 nan 0.0100 0.0030
2 1.3195 nan 0.0100 0.0029
3 1.3135 nan 0.0100 0.0029
4 1.3076 nan 0.0100 0.0027
5 1.3020 nan 0.0100 0.0027
6 1.2967 nan 0.0100 0.0026
7 1.2917 nan 0.0100 0.0026
8 1.2867 nan 0.0100 0.0026
9 1.2817 nan 0.0100 0.0026
10 1.2767 nan 0.0100 0.0025
20 1.2316 nan 0.0100 0.0021
40 1.1623 nan 0.0100 0.0015
60 1.1120 nan 0.0100 0.0010
80 1.0744 nan 0.0100 0.0008
100 1.0445 nan 0.0100 0.0006
120 1.0204 nan 0.0100 0.0005
140 1.0010 nan 0.0100 0.0003
160 0.9835 nan 0.0100 0.0003
180 0.9685 nan 0.0100 0.0003
200 0.9559 nan 0.0100 0.0002
220 0.9447 nan 0.0100 0.0002
240 0.9345 nan 0.0100 0.0001
260 0.9254 nan 0.0100 0.0001
280 0.9169 nan 0.0100 0.0001
300 0.9091 nan 0.0100 0.0001
320 0.9021 nan 0.0100 0.0000
340 0.8960 nan 0.0100 0.0000
360 0.8899 nan 0.0100 0.0000
380 0.8843 nan 0.0100 -0.0001
400 0.8790 nan 0.0100 -0.0000
420 0.8740 nan 0.0100 -0.0000
440 0.8696 nan 0.0100 0.0001
460 0.8649 nan 0.0100 0.0000
480 0.8610 nan 0.0100 0.0000
500 0.8569 nan 0.0100 0.0000
520 0.8530 nan 0.0100 0.0001
540 0.8495 nan 0.0100 0.0000
560 0.8460 nan 0.0100 0.0000
580 0.8424 nan 0.0100 -0.0000
600 0.8393 nan 0.0100 0.0000
620 0.8361 nan 0.0100 -0.0000
640 0.8330 nan 0.0100 -0.0000
660 0.8302 nan 0.0100 0.0000
680 0.8275 nan 0.0100 -0.0000
700 0.8247 nan 0.0100 -0.0000
720 0.8222 nan 0.0100 0.0000
740 0.8197 nan 0.0100 0.0000
760 0.8172 nan 0.0100 -0.0001
780 0.8150 nan 0.0100 -0.0000
800 0.8125 nan 0.0100 -0.0001
820 0.8102 nan 0.0100 -0.0000
840 0.8081 nan 0.0100 -0.0000
860 0.8061 nan 0.0100 0.0000
880 0.8040 nan 0.0100 -0.0000
900 0.8020 nan 0.0100 -0.0000
920 0.8004 nan 0.0100 -0.0000
940 0.7988 nan 0.0100 -0.0001
960 0.7969 nan 0.0100 0.0000
980 0.7953 nan 0.0100 -0.0001
1000 0.7936 nan 0.0100 -0.0000
1020 0.7922 nan 0.0100 -0.0000
1040 0.7905 nan 0.0100 -0.0000
1060 0.7889 nan 0.0100 -0.0001
1080 0.7874 nan 0.0100 -0.0001
1100 0.7860 nan 0.0100 0.0000
- Fold01.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3244 nan 0.0100 0.0038
2 1.3172 nan 0.0100 0.0036
3 1.3100 nan 0.0100 0.0035
4 1.3040 nan 0.0100 0.0029
5 1.2970 nan 0.0100 0.0034
6 1.2903 nan 0.0100 0.0033
7 1.2837 nan 0.0100 0.0033
8 1.2773 nan 0.0100 0.0033
9 1.2708 nan 0.0100 0.0030
10 1.2643 nan 0.0100 0.0031
20 1.2077 nan 0.0100 0.0026
40 1.1197 nan 0.0100 0.0018
60 1.0541 nan 0.0100 0.0013
80 1.0056 nan 0.0100 0.0008
100 0.9697 nan 0.0100 0.0007
120 0.9411 nan 0.0100 0.0003
140 0.9182 nan 0.0100 0.0005
160 0.8999 nan 0.0100 0.0003
180 0.8850 nan 0.0100 0.0001
200 0.8713 nan 0.0100 0.0001
220 0.8588 nan 0.0100 0.0001
240 0.8490 nan 0.0100 0.0001
260 0.8401 nan 0.0100 0.0001
280 0.8323 nan 0.0100 0.0000
300 0.8251 nan 0.0100 0.0001
320 0.8183 nan 0.0100 0.0002
340 0.8121 nan 0.0100 -0.0000
360 0.8054 nan 0.0100 0.0000
380 0.7996 nan 0.0100 0.0001
400 0.7938 nan 0.0100 0.0001
420 0.7885 nan 0.0100 0.0000
440 0.7840 nan 0.0100 -0.0001
460 0.7794 nan 0.0100 0.0000
480 0.7751 nan 0.0100 -0.0000
500 0.7714 nan 0.0100 -0.0001
520 0.7672 nan 0.0100 -0.0001
540 0.7634 nan 0.0100 -0.0001
560 0.7596 nan 0.0100 -0.0000
580 0.7559 nan 0.0100 -0.0001
600 0.7527 nan 0.0100 -0.0001
620 0.7489 nan 0.0100 0.0000
640 0.7462 nan 0.0100 -0.0001
660 0.7434 nan 0.0100 -0.0001
680 0.7404 nan 0.0100 -0.0000
700 0.7373 nan 0.0100 0.0000
720 0.7342 nan 0.0100 -0.0000
740 0.7318 nan 0.0100 -0.0001
760 0.7296 nan 0.0100 -0.0000
780 0.7272 nan 0.0100 -0.0001
800 0.7244 nan 0.0100 -0.0000
820 0.7223 nan 0.0100 0.0000
840 0.7195 nan 0.0100 -0.0001
860 0.7169 nan 0.0100 -0.0001
880 0.7147 nan 0.0100 -0.0001
900 0.7126 nan 0.0100 -0.0001
920 0.7107 nan 0.0100 0.0000
940 0.7086 nan 0.0100 -0.0000
960 0.7064 nan 0.0100 -0.0000
980 0.7043 nan 0.0100 -0.0001
1000 0.7023 nan 0.0100 -0.0001
1020 0.7003 nan 0.0100 -0.0001
1040 0.6983 nan 0.0100 -0.0002
1060 0.6963 nan 0.0100 -0.0001
1080 0.6941 nan 0.0100 -0.0001
1100 0.6923 nan 0.0100 -0.0001
- Fold01.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3244 nan 0.0100 0.0040
2 1.3166 nan 0.0100 0.0039
3 1.3084 nan 0.0100 0.0039
4 1.3009 nan 0.0100 0.0038
5 1.2936 nan 0.0100 0.0036
6 1.2860 nan 0.0100 0.0036
7 1.2786 nan 0.0100 0.0034
8 1.2715 nan 0.0100 0.0032
9 1.2642 nan 0.0100 0.0035
10 1.2575 nan 0.0100 0.0033
20 1.1957 nan 0.0100 0.0027
40 1.0995 nan 0.0100 0.0020
60 1.0294 nan 0.0100 0.0014
80 0.9767 nan 0.0100 0.0009
100 0.9376 nan 0.0100 0.0007
120 0.9069 nan 0.0100 0.0005
140 0.8839 nan 0.0100 0.0003
160 0.8640 nan 0.0100 0.0004
180 0.8477 nan 0.0100 0.0003
200 0.8337 nan 0.0100 0.0001
220 0.8210 nan 0.0100 0.0002
240 0.8097 nan 0.0100 0.0001
260 0.7991 nan 0.0100 0.0001
280 0.7903 nan 0.0100 0.0000
300 0.7820 nan 0.0100 -0.0001
320 0.7743 nan 0.0100 -0.0001
340 0.7664 nan 0.0100 -0.0001
360 0.7596 nan 0.0100 -0.0001
380 0.7542 nan 0.0100 -0.0000
400 0.7492 nan 0.0100 -0.0001
420 0.7440 nan 0.0100 -0.0000
440 0.7389 nan 0.0100 -0.0001
460 0.7338 nan 0.0100 0.0000
480 0.7290 nan 0.0100 -0.0001
500 0.7243 nan 0.0100 -0.0001
520 0.7199 nan 0.0100 -0.0001
540 0.7159 nan 0.0100 -0.0000
560 0.7118 nan 0.0100 0.0000
580 0.7084 nan 0.0100 -0.0001
600 0.7048 nan 0.0100 -0.0001
620 0.7012 nan 0.0100 -0.0001
640 0.6975 nan 0.0100 -0.0000
660 0.6942 nan 0.0100 -0.0000
680 0.6902 nan 0.0100 -0.0001
700 0.6868 nan 0.0100 -0.0001
720 0.6832 nan 0.0100 -0.0000
740 0.6802 nan 0.0100 -0.0002
760 0.6768 nan 0.0100 -0.0000
780 0.6735 nan 0.0100 -0.0001
800 0.6706 nan 0.0100 -0.0000
820 0.6675 nan 0.0100 -0.0001
840 0.6646 nan 0.0100 -0.0001
860 0.6617 nan 0.0100 -0.0001
880 0.6591 nan 0.0100 -0.0001
900 0.6565 nan 0.0100 -0.0002
920 0.6538 nan 0.0100 -0.0002
940 0.6519 nan 0.0100 -0.0001
960 0.6487 nan 0.0100 -0.0001
980 0.6459 nan 0.0100 -0.0001
1000 0.6432 nan 0.0100 -0.0001
1020 0.6404 nan 0.0100 -0.0002
1040 0.6378 nan 0.0100 -0.0001
1060 0.6355 nan 0.0100 -0.0002
1080 0.6326 nan 0.0100 -0.0001
1100 0.6301 nan 0.0100 -0.0001
- Fold01.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2785 nan 0.1000 0.0276
2 1.2274 nan 0.1000 0.0239
3 1.1877 nan 0.1000 0.0185
4 1.1595 nan 0.1000 0.0161
5 1.1335 nan 0.1000 0.0136
6 1.1099 nan 0.1000 0.0110
7 1.0916 nan 0.1000 0.0085
8 1.0737 nan 0.1000 0.0065
9 1.0553 nan 0.1000 0.0076
10 1.0411 nan 0.1000 0.0062
20 0.9542 nan 0.1000 0.0017
40 0.8797 nan 0.1000 0.0004
60 0.8384 nan 0.1000 0.0000
80 0.8125 nan 0.1000 -0.0010
100 0.7947 nan 0.1000 -0.0004
120 0.7815 nan 0.1000 -0.0010
140 0.7711 nan 0.1000 -0.0008
160 0.7621 nan 0.1000 -0.0018
180 0.7540 nan 0.1000 -0.0011
200 0.7475 nan 0.1000 -0.0004
220 0.7418 nan 0.1000 -0.0002
240 0.7348 nan 0.1000 -0.0008
260 0.7312 nan 0.1000 -0.0008
280 0.7263 nan 0.1000 -0.0009
300 0.7222 nan 0.1000 -0.0013
320 0.7183 nan 0.1000 -0.0007
340 0.7137 nan 0.1000 -0.0010
360 0.7108 nan 0.1000 -0.0001
380 0.7078 nan 0.1000 -0.0008
400 0.7052 nan 0.1000 -0.0006
420 0.7009 nan 0.1000 -0.0007
440 0.6980 nan 0.1000 -0.0006
460 0.6951 nan 0.1000 -0.0005
480 0.6906 nan 0.1000 -0.0004
500 0.6888 nan 0.1000 -0.0009
520 0.6861 nan 0.1000 -0.0009
540 0.6840 nan 0.1000 -0.0006
560 0.6809 nan 0.1000 -0.0013
580 0.6772 nan 0.1000 -0.0007
600 0.6743 nan 0.1000 -0.0004
620 0.6715 nan 0.1000 -0.0003
640 0.6702 nan 0.1000 -0.0007
660 0.6676 nan 0.1000 -0.0007
680 0.6649 nan 0.1000 -0.0004
700 0.6632 nan 0.1000 -0.0005
720 0.6611 nan 0.1000 -0.0010
740 0.6599 nan 0.1000 -0.0003
760 0.6580 nan 0.1000 -0.0004
780 0.6558 nan 0.1000 -0.0008
800 0.6539 nan 0.1000 -0.0004
820 0.6528 nan 0.1000 -0.0006
840 0.6513 nan 0.1000 -0.0007
860 0.6500 nan 0.1000 -0.0006
880 0.6489 nan 0.1000 -0.0014
900 0.6469 nan 0.1000 -0.0005
920 0.6453 nan 0.1000 -0.0007
940 0.6437 nan 0.1000 -0.0014
960 0.6433 nan 0.1000 -0.0005
980 0.6419 nan 0.1000 -0.0003
1000 0.6400 nan 0.1000 -0.0008
1020 0.6383 nan 0.1000 -0.0008
1040 0.6368 nan 0.1000 -0.0003
1060 0.6359 nan 0.1000 -0.0011
1080 0.6356 nan 0.1000 -0.0005
1100 0.6336 nan 0.1000 -0.0012
- Fold01.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2587 nan 0.1000 0.0351
2 1.1984 nan 0.1000 0.0292
3 1.1488 nan 0.1000 0.0209
4 1.1040 nan 0.1000 0.0201
5 1.0740 nan 0.1000 0.0160
6 1.0465 nan 0.1000 0.0089
7 1.0200 nan 0.1000 0.0113
8 0.9957 nan 0.1000 0.0107
9 0.9771 nan 0.1000 0.0080
10 0.9626 nan 0.1000 0.0074
20 0.8732 nan 0.1000 0.0023
40 0.7957 nan 0.1000 0.0001
60 0.7584 nan 0.1000 -0.0014
80 0.7330 nan 0.1000 -0.0003
100 0.7121 nan 0.1000 -0.0009
120 0.6954 nan 0.1000 0.0002
140 0.6807 nan 0.1000 -0.0005
160 0.6661 nan 0.1000 -0.0006
180 0.6525 nan 0.1000 -0.0006
200 0.6398 nan 0.1000 -0.0010
220 0.6276 nan 0.1000 -0.0011
240 0.6151 nan 0.1000 -0.0017
260 0.6030 nan 0.1000 -0.0010
280 0.5926 nan 0.1000 -0.0010
300 0.5868 nan 0.1000 -0.0012
320 0.5751 nan 0.1000 -0.0010
340 0.5684 nan 0.1000 -0.0007
360 0.5614 nan 0.1000 -0.0006
380 0.5533 nan 0.1000 -0.0006
400 0.5456 nan 0.1000 -0.0016
420 0.5377 nan 0.1000 -0.0014
440 0.5275 nan 0.1000 -0.0014
460 0.5195 nan 0.1000 -0.0013
480 0.5127 nan 0.1000 -0.0008
500 0.5090 nan 0.1000 -0.0008
520 0.5043 nan 0.1000 -0.0016
540 0.4976 nan 0.1000 -0.0005
560 0.4943 nan 0.1000 -0.0010
580 0.4902 nan 0.1000 -0.0012
600 0.4845 nan 0.1000 -0.0009
620 0.4798 nan 0.1000 -0.0018
640 0.4769 nan 0.1000 -0.0009
660 0.4722 nan 0.1000 -0.0008
680 0.4686 nan 0.1000 -0.0013
700 0.4655 nan 0.1000 -0.0004
720 0.4609 nan 0.1000 -0.0007
740 0.4564 nan 0.1000 -0.0007
760 0.4528 nan 0.1000 -0.0013
780 0.4477 nan 0.1000 -0.0007
800 0.4432 nan 0.1000 -0.0010
820 0.4397 nan 0.1000 -0.0007
840 0.4359 nan 0.1000 -0.0011
860 0.4325 nan 0.1000 -0.0008
880 0.4296 nan 0.1000 -0.0004
900 0.4259 nan 0.1000 -0.0004
920 0.4228 nan 0.1000 -0.0012
940 0.4184 nan 0.1000 -0.0005
960 0.4143 nan 0.1000 -0.0015
980 0.4121 nan 0.1000 -0.0007
1000 0.4100 nan 0.1000 -0.0005
1020 0.4043 nan 0.1000 -0.0008
1040 0.4021 nan 0.1000 -0.0008
1060 0.4004 nan 0.1000 -0.0012
1080 0.3972 nan 0.1000 -0.0007
1100 0.3947 nan 0.1000 -0.0015
- Fold01.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold01.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2533 nan 0.1000 0.0410
2 1.1869 nan 0.1000 0.0295
3 1.1342 nan 0.1000 0.0252
4 1.0888 nan 0.1000 0.0223
5 1.0517 nan 0.1000 0.0172
6 1.0204 nan 0.1000 0.0155
7 0.9906 nan 0.1000 0.0123
8 0.9647 nan 0.1000 0.0110
9 0.9445 nan 0.1000 0.0083
10 0.9260 nan 0.1000 0.0074
20 0.8285 nan 0.1000 0.0013
40 0.7451 nan 0.1000 -0.0002
60 0.7036 nan 0.1000 0.0005
80 0.6742 nan 0.1000 -0.0010
100 0.6478 nan 0.1000 -0.0011
120 0.6266 nan 0.1000 -0.0017
140 0.6048 nan 0.1000 -0.0019
160 0.5876 nan 0.1000 -0.0025
180 0.5717 nan 0.1000 -0.0012
200 0.5531 nan 0.1000 -0.0011
220 0.5355 nan 0.1000 -0.0010
240 0.5240 nan 0.1000 -0.0010
260 0.5108 nan 0.1000 -0.0012
280 0.4932 nan 0.1000 -0.0006
300 0.4815 nan 0.1000 -0.0010
320 0.4734 nan 0.1000 -0.0005
340 0.4646 nan 0.1000 -0.0013
360 0.4532 nan 0.1000 -0.0010
380 0.4437 nan 0.1000 -0.0009
400 0.4347 nan 0.1000 -0.0009
420 0.4271 nan 0.1000 -0.0014
440 0.4189 nan 0.1000 -0.0009
460 0.4113 nan 0.1000 -0.0014
480 0.4029 nan 0.1000 -0.0006
500 0.3975 nan 0.1000 -0.0011
520 0.3920 nan 0.1000 -0.0009
540 0.3832 nan 0.1000 -0.0013
560 0.3780 nan 0.1000 -0.0012
580 0.3731 nan 0.1000 -0.0007
600 0.3662 nan 0.1000 -0.0005
620 0.3606 nan 0.1000 -0.0010
640 0.3550 nan 0.1000 -0.0005
660 0.3480 nan 0.1000 -0.0010
680 0.3420 nan 0.1000 -0.0007
700 0.3381 nan 0.1000 -0.0005
720 0.3337 nan 0.1000 -0.0007
740 0.3299 nan 0.1000 -0.0011
760 0.3251 nan 0.1000 -0.0006
780 0.3208 nan 0.1000 -0.0007
800 0.3156 nan 0.1000 -0.0005
820 0.3109 nan 0.1000 -0.0012
840 0.3058 nan 0.1000 -0.0010
860 0.3002 nan 0.1000 -0.0007
880 0.2957 nan 0.1000 -0.0009
900 0.2920 nan 0.1000 -0.0006
920 0.2896 nan 0.1000 -0.0007
940 0.2859 nan 0.1000 -0.0005
960 0.2824 nan 0.1000 -0.0012
980 0.2803 nan 0.1000 -0.0004
1000 0.2771 nan 0.1000 -0.0003
1020 0.2739 nan 0.1000 -0.0007
1040 0.2707 nan 0.1000 -0.0012
1060 0.2676 nan 0.1000 -0.0009
1080 0.2634 nan 0.1000 -0.0006
1100 0.2599 nan 0.1000 -0.0002
- Fold01.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3248 nan 0.0100 0.0032
2 1.3190 nan 0.0100 0.0029
3 1.3134 nan 0.0100 0.0029
4 1.3076 nan 0.0100 0.0028
5 1.3019 nan 0.0100 0.0029
6 1.2958 nan 0.0100 0.0028
7 1.2897 nan 0.0100 0.0028
8 1.2840 nan 0.0100 0.0028
9 1.2789 nan 0.0100 0.0025
10 1.2735 nan 0.0100 0.0026
20 1.2264 nan 0.0100 0.0021
40 1.1545 nan 0.0100 0.0015
60 1.1046 nan 0.0100 0.0011
80 1.0667 nan 0.0100 0.0008
100 1.0370 nan 0.0100 0.0006
120 1.0129 nan 0.0100 0.0005
140 0.9922 nan 0.0100 0.0004
160 0.9751 nan 0.0100 0.0003
180 0.9609 nan 0.0100 0.0002
200 0.9477 nan 0.0100 0.0002
220 0.9359 nan 0.0100 0.0001
240 0.9256 nan 0.0100 0.0001
260 0.9168 nan 0.0100 0.0001
280 0.9087 nan 0.0100 -0.0001
300 0.9013 nan 0.0100 0.0001
320 0.8941 nan 0.0100 0.0001
340 0.8877 nan 0.0100 0.0001
360 0.8817 nan 0.0100 0.0001
380 0.8760 nan 0.0100 0.0000
400 0.8708 nan 0.0100 0.0001
420 0.8659 nan 0.0100 0.0001
440 0.8613 nan 0.0100 0.0000
460 0.8573 nan 0.0100 0.0001
480 0.8533 nan 0.0100 0.0000
500 0.8496 nan 0.0100 -0.0000
520 0.8461 nan 0.0100 0.0000
540 0.8423 nan 0.0100 -0.0000
560 0.8389 nan 0.0100 -0.0000
580 0.8357 nan 0.0100 -0.0000
600 0.8325 nan 0.0100 -0.0000
620 0.8296 nan 0.0100 -0.0000
640 0.8268 nan 0.0100 0.0000
660 0.8243 nan 0.0100 -0.0000
680 0.8218 nan 0.0100 -0.0000
700 0.8193 nan 0.0100 -0.0000
720 0.8171 nan 0.0100 -0.0000
740 0.8149 nan 0.0100 -0.0000
760 0.8129 nan 0.0100 -0.0000
780 0.8106 nan 0.0100 -0.0000
800 0.8087 nan 0.0100 -0.0001
820 0.8067 nan 0.0100 -0.0000
840 0.8050 nan 0.0100 -0.0000
860 0.8031 nan 0.0100 -0.0000
880 0.8012 nan 0.0100 -0.0000
900 0.7993 nan 0.0100 -0.0000
920 0.7977 nan 0.0100 -0.0001
940 0.7962 nan 0.0100 -0.0001
960 0.7946 nan 0.0100 -0.0002
980 0.7930 nan 0.0100 -0.0000
1000 0.7916 nan 0.0100 -0.0000
1020 0.7902 nan 0.0100 -0.0000
1040 0.7888 nan 0.0100 -0.0000
1060 0.7874 nan 0.0100 -0.0001
1080 0.7860 nan 0.0100 -0.0000
1100 0.7848 nan 0.0100 -0.0000
- Fold02.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3232 nan 0.0100 0.0036
2 1.3161 nan 0.0100 0.0035
3 1.3088 nan 0.0100 0.0034
4 1.3013 nan 0.0100 0.0036
5 1.2943 nan 0.0100 0.0034
6 1.2872 nan 0.0100 0.0033
7 1.2805 nan 0.0100 0.0031
8 1.2739 nan 0.0100 0.0032
9 1.2677 nan 0.0100 0.0029
10 1.2615 nan 0.0100 0.0031
20 1.2055 nan 0.0100 0.0023
40 1.1172 nan 0.0100 0.0019
60 1.0519 nan 0.0100 0.0014
80 1.0032 nan 0.0100 0.0010
100 0.9662 nan 0.0100 0.0006
120 0.9370 nan 0.0100 0.0005
140 0.9146 nan 0.0100 0.0003
160 0.8961 nan 0.0100 0.0004
180 0.8808 nan 0.0100 0.0001
200 0.8677 nan 0.0100 0.0001
220 0.8563 nan 0.0100 0.0001
240 0.8462 nan 0.0100 0.0003
260 0.8379 nan 0.0100 -0.0001
280 0.8295 nan 0.0100 0.0001
300 0.8223 nan 0.0100 -0.0001
320 0.8157 nan 0.0100 -0.0001
340 0.8096 nan 0.0100 -0.0000
360 0.8039 nan 0.0100 0.0000
380 0.7982 nan 0.0100 0.0001
400 0.7936 nan 0.0100 -0.0001
420 0.7884 nan 0.0100 -0.0000
440 0.7830 nan 0.0100 -0.0000
460 0.7791 nan 0.0100 -0.0000
480 0.7750 nan 0.0100 -0.0001
500 0.7708 nan 0.0100 -0.0001
520 0.7672 nan 0.0100 -0.0000
540 0.7640 nan 0.0100 -0.0000
560 0.7605 nan 0.0100 -0.0000
580 0.7573 nan 0.0100 -0.0001
600 0.7546 nan 0.0100 -0.0000
620 0.7519 nan 0.0100 -0.0001
640 0.7491 nan 0.0100 -0.0001
660 0.7464 nan 0.0100 -0.0001
680 0.7435 nan 0.0100 -0.0000
700 0.7410 nan 0.0100 -0.0001
720 0.7384 nan 0.0100 -0.0000
740 0.7359 nan 0.0100 -0.0001
760 0.7336 nan 0.0100 -0.0002
780 0.7311 nan 0.0100 -0.0001
800 0.7284 nan 0.0100 0.0000
820 0.7261 nan 0.0100 -0.0000
840 0.7243 nan 0.0100 -0.0001
860 0.7223 nan 0.0100 -0.0001
880 0.7202 nan 0.0100 -0.0001
900 0.7179 nan 0.0100 -0.0001
920 0.7157 nan 0.0100 -0.0001
940 0.7138 nan 0.0100 -0.0001
960 0.7117 nan 0.0100 0.0000
980 0.7099 nan 0.0100 -0.0001
1000 0.7078 nan 0.0100 -0.0001
1020 0.7059 nan 0.0100 -0.0001
1040 0.7040 nan 0.0100 -0.0001
1060 0.7023 nan 0.0100 -0.0001
1080 0.7005 nan 0.0100 0.0000
1100 0.6987 nan 0.0100 -0.0001
- Fold02.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3237 nan 0.0100 0.0035
2 1.3157 nan 0.0100 0.0040
3 1.3082 nan 0.0100 0.0036
4 1.3006 nan 0.0100 0.0034
5 1.2934 nan 0.0100 0.0033
6 1.2864 nan 0.0100 0.0036
7 1.2789 nan 0.0100 0.0036
8 1.2715 nan 0.0100 0.0037
9 1.2647 nan 0.0100 0.0034
10 1.2576 nan 0.0100 0.0033
20 1.1953 nan 0.0100 0.0027
40 1.0981 nan 0.0100 0.0021
60 1.0277 nan 0.0100 0.0015
80 0.9749 nan 0.0100 0.0011
100 0.9341 nan 0.0100 0.0007
120 0.9044 nan 0.0100 0.0005
140 0.8802 nan 0.0100 0.0003
160 0.8614 nan 0.0100 0.0003
180 0.8449 nan 0.0100 0.0001
200 0.8300 nan 0.0100 0.0001
220 0.8175 nan 0.0100 0.0001
240 0.8070 nan 0.0100 -0.0001
260 0.7971 nan 0.0100 0.0000
280 0.7894 nan 0.0100 0.0002
300 0.7818 nan 0.0100 0.0000
320 0.7746 nan 0.0100 0.0001
340 0.7672 nan 0.0100 -0.0000
360 0.7603 nan 0.0100 0.0001
380 0.7546 nan 0.0100 0.0001
400 0.7496 nan 0.0100 -0.0000
420 0.7444 nan 0.0100 -0.0001
440 0.7400 nan 0.0100 -0.0001
460 0.7354 nan 0.0100 -0.0002
480 0.7312 nan 0.0100 -0.0002
500 0.7267 nan 0.0100 -0.0000
520 0.7229 nan 0.0100 -0.0001
540 0.7189 nan 0.0100 0.0000
560 0.7154 nan 0.0100 -0.0001
580 0.7115 nan 0.0100 -0.0001
600 0.7078 nan 0.0100 -0.0001
620 0.7046 nan 0.0100 -0.0001
640 0.7013 nan 0.0100 -0.0001
660 0.6977 nan 0.0100 -0.0001
680 0.6941 nan 0.0100 -0.0000
700 0.6907 nan 0.0100 -0.0002
720 0.6876 nan 0.0100 -0.0001
740 0.6846 nan 0.0100 -0.0001
760 0.6812 nan 0.0100 -0.0001
780 0.6783 nan 0.0100 0.0000
800 0.6754 nan 0.0100 -0.0001
820 0.6726 nan 0.0100 -0.0001
840 0.6702 nan 0.0100 -0.0002
860 0.6674 nan 0.0100 -0.0000
880 0.6645 nan 0.0100 -0.0001
900 0.6617 nan 0.0100 -0.0001
920 0.6590 nan 0.0100 -0.0001
940 0.6564 nan 0.0100 -0.0000
960 0.6537 nan 0.0100 -0.0001
980 0.6509 nan 0.0100 -0.0000
1000 0.6487 nan 0.0100 -0.0000
1020 0.6462 nan 0.0100 -0.0001
1040 0.6439 nan 0.0100 -0.0001
1060 0.6416 nan 0.0100 -0.0001
1080 0.6389 nan 0.0100 -0.0001
1100 0.6363 nan 0.0100 -0.0001
- Fold02.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2741 nan 0.1000 0.0291
2 1.2222 nan 0.1000 0.0249
3 1.1852 nan 0.1000 0.0191
4 1.1559 nan 0.1000 0.0160
5 1.1268 nan 0.1000 0.0145
6 1.1038 nan 0.1000 0.0124
7 1.0860 nan 0.1000 0.0067
8 1.0630 nan 0.1000 0.0091
9 1.0484 nan 0.1000 0.0074
10 1.0332 nan 0.1000 0.0050
20 0.9444 nan 0.1000 0.0005
40 0.8704 nan 0.1000 0.0004
60 0.8332 nan 0.1000 0.0000
80 0.8113 nan 0.1000 -0.0004
100 0.7955 nan 0.1000 -0.0007
120 0.7825 nan 0.1000 -0.0006
140 0.7721 nan 0.1000 -0.0007
160 0.7611 nan 0.1000 -0.0013
180 0.7536 nan 0.1000 -0.0013
200 0.7468 nan 0.1000 -0.0002
220 0.7421 nan 0.1000 -0.0010
240 0.7359 nan 0.1000 -0.0008
260 0.7314 nan 0.1000 -0.0005
280 0.7271 nan 0.1000 -0.0006
300 0.7239 nan 0.1000 -0.0005
320 0.7193 nan 0.1000 -0.0010
340 0.7169 nan 0.1000 -0.0009
360 0.7131 nan 0.1000 -0.0009
380 0.7093 nan 0.1000 -0.0006
400 0.7059 nan 0.1000 -0.0011
420 0.7033 nan 0.1000 -0.0016
440 0.6995 nan 0.1000 -0.0015
460 0.6967 nan 0.1000 -0.0007
480 0.6951 nan 0.1000 -0.0009
500 0.6923 nan 0.1000 -0.0010
520 0.6905 nan 0.1000 -0.0023
540 0.6886 nan 0.1000 -0.0004
560 0.6860 nan 0.1000 -0.0010
580 0.6834 nan 0.1000 -0.0005
600 0.6808 nan 0.1000 -0.0005
620 0.6787 nan 0.1000 -0.0004
640 0.6760 nan 0.1000 -0.0010
660 0.6749 nan 0.1000 -0.0024
680 0.6739 nan 0.1000 -0.0003
700 0.6714 nan 0.1000 -0.0010
720 0.6691 nan 0.1000 -0.0011
740 0.6683 nan 0.1000 -0.0013
760 0.6664 nan 0.1000 -0.0006
780 0.6650 nan 0.1000 -0.0006
800 0.6630 nan 0.1000 -0.0006
820 0.6620 nan 0.1000 -0.0006
840 0.6605 nan 0.1000 -0.0006
860 0.6586 nan 0.1000 -0.0006
880 0.6567 nan 0.1000 -0.0008
900 0.6556 nan 0.1000 -0.0005
920 0.6550 nan 0.1000 -0.0006
940 0.6536 nan 0.1000 -0.0006
960 0.6527 nan 0.1000 -0.0007
980 0.6508 nan 0.1000 -0.0006
1000 0.6491 nan 0.1000 -0.0010
1020 0.6470 nan 0.1000 -0.0006
1040 0.6453 nan 0.1000 -0.0012
1060 0.6443 nan 0.1000 -0.0010
1080 0.6432 nan 0.1000 -0.0009
1100 0.6422 nan 0.1000 -0.0010
- Fold02.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2573 nan 0.1000 0.0352
2 1.1959 nan 0.1000 0.0268
3 1.1452 nan 0.1000 0.0212
4 1.1047 nan 0.1000 0.0194
5 1.0672 nan 0.1000 0.0162
6 1.0419 nan 0.1000 0.0128
7 1.0149 nan 0.1000 0.0113
8 0.9962 nan 0.1000 0.0066
9 0.9758 nan 0.1000 0.0090
10 0.9628 nan 0.1000 0.0053
20 0.8646 nan 0.1000 0.0018
40 0.7877 nan 0.1000 0.0014
60 0.7540 nan 0.1000 -0.0007
80 0.7275 nan 0.1000 -0.0007
100 0.7060 nan 0.1000 -0.0002
120 0.6901 nan 0.1000 -0.0016
140 0.6754 nan 0.1000 -0.0014
160 0.6618 nan 0.1000 -0.0006
180 0.6489 nan 0.1000 -0.0005
200 0.6373 nan 0.1000 -0.0008
220 0.6286 nan 0.1000 -0.0007
240 0.6160 nan 0.1000 -0.0010
260 0.6047 nan 0.1000 -0.0008
280 0.5955 nan 0.1000 -0.0008
300 0.5862 nan 0.1000 -0.0009
320 0.5789 nan 0.1000 -0.0008
340 0.5714 nan 0.1000 -0.0009
360 0.5633 nan 0.1000 -0.0003
380 0.5557 nan 0.1000 -0.0009
400 0.5485 nan 0.1000 -0.0014
420 0.5408 nan 0.1000 -0.0009
440 0.5318 nan 0.1000 -0.0002
460 0.5249 nan 0.1000 -0.0014
480 0.5167 nan 0.1000 -0.0002
500 0.5120 nan 0.1000 -0.0011
520 0.5058 nan 0.1000 -0.0012
540 0.5006 nan 0.1000 -0.0013
560 0.4971 nan 0.1000 -0.0010
580 0.4924 nan 0.1000 -0.0007
600 0.4846 nan 0.1000 -0.0004
620 0.4792 nan 0.1000 -0.0008
640 0.4758 nan 0.1000 -0.0015
660 0.4714 nan 0.1000 -0.0010
680 0.4660 nan 0.1000 -0.0008
700 0.4599 nan 0.1000 -0.0012
720 0.4559 nan 0.1000 -0.0010
740 0.4500 nan 0.1000 -0.0010
760 0.4451 nan 0.1000 -0.0009
780 0.4414 nan 0.1000 -0.0009
800 0.4364 nan 0.1000 -0.0005
820 0.4332 nan 0.1000 -0.0012
840 0.4272 nan 0.1000 -0.0003
860 0.4239 nan 0.1000 -0.0010
880 0.4193 nan 0.1000 -0.0004
900 0.4162 nan 0.1000 -0.0008
920 0.4125 nan 0.1000 -0.0012
940 0.4099 nan 0.1000 -0.0002
960 0.4062 nan 0.1000 -0.0008
980 0.4029 nan 0.1000 -0.0008
1000 0.3991 nan 0.1000 -0.0009
1020 0.3951 nan 0.1000 -0.0013
1040 0.3925 nan 0.1000 -0.0009
1060 0.3901 nan 0.1000 -0.0010
1080 0.3867 nan 0.1000 -0.0007
1100 0.3847 nan 0.1000 -0.0004
- Fold02.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold02.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2540 nan 0.1000 0.0404
2 1.1898 nan 0.1000 0.0310
3 1.1307 nan 0.1000 0.0264
4 1.0856 nan 0.1000 0.0225
5 1.0468 nan 0.1000 0.0164
6 1.0195 nan 0.1000 0.0114
7 0.9902 nan 0.1000 0.0138
8 0.9675 nan 0.1000 0.0115
9 0.9455 nan 0.1000 0.0101
10 0.9300 nan 0.1000 0.0063
20 0.8279 nan 0.1000 0.0025
40 0.7530 nan 0.1000 -0.0001
60 0.7090 nan 0.1000 -0.0010
80 0.6735 nan 0.1000 -0.0008
100 0.6503 nan 0.1000 0.0004
120 0.6293 nan 0.1000 -0.0013
140 0.6086 nan 0.1000 -0.0002
160 0.5857 nan 0.1000 0.0000
180 0.5690 nan 0.1000 -0.0010
200 0.5526 nan 0.1000 -0.0007
220 0.5388 nan 0.1000 -0.0008
240 0.5266 nan 0.1000 -0.0010
260 0.5136 nan 0.1000 -0.0010
280 0.4990 nan 0.1000 -0.0012
300 0.4930 nan 0.1000 -0.0014
320 0.4837 nan 0.1000 -0.0010
340 0.4738 nan 0.1000 -0.0010
360 0.4628 nan 0.1000 -0.0016
380 0.4519 nan 0.1000 -0.0006
400 0.4459 nan 0.1000 -0.0022
420 0.4393 nan 0.1000 -0.0010
440 0.4326 nan 0.1000 -0.0004
460 0.4229 nan 0.1000 -0.0006
480 0.4142 nan 0.1000 -0.0010
500 0.4059 nan 0.1000 -0.0007
520 0.3980 nan 0.1000 -0.0008
540 0.3914 nan 0.1000 -0.0009
560 0.3834 nan 0.1000 -0.0016
580 0.3773 nan 0.1000 -0.0008
600 0.3705 nan 0.1000 -0.0009
620 0.3658 nan 0.1000 -0.0003
640 0.3604 nan 0.1000 -0.0014
660 0.3572 nan 0.1000 -0.0015
680 0.3506 nan 0.1000 -0.0007
700 0.3456 nan 0.1000 -0.0016
720 0.3409 nan 0.1000 -0.0007
740 0.3358 nan 0.1000 -0.0018
760 0.3303 nan 0.1000 -0.0011
780 0.3257 nan 0.1000 -0.0004
800 0.3200 nan 0.1000 -0.0008
820 0.3156 nan 0.1000 -0.0011
840 0.3111 nan 0.1000 -0.0004
860 0.3065 nan 0.1000 -0.0008
880 0.3015 nan 0.1000 -0.0012
900 0.2983 nan 0.1000 -0.0015
920 0.2937 nan 0.1000 -0.0004
940 0.2898 nan 0.1000 -0.0012
960 0.2843 nan 0.1000 -0.0003
980 0.2815 nan 0.1000 -0.0005
1000 0.2774 nan 0.1000 -0.0007
1020 0.2747 nan 0.1000 -0.0008
1040 0.2710 nan 0.1000 -0.0006
1060 0.2675 nan 0.1000 -0.0009
1080 0.2645 nan 0.1000 -0.0009
1100 0.2610 nan 0.1000 -0.0007
- Fold02.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3261 nan 0.0100 0.0028
2 1.3206 nan 0.0100 0.0028
3 1.3153 nan 0.0100 0.0027
4 1.3093 nan 0.0100 0.0027
5 1.3036 nan 0.0100 0.0026
6 1.2989 nan 0.0100 0.0026
7 1.2945 nan 0.0100 0.0025
8 1.2905 nan 0.0100 0.0024
9 1.2858 nan 0.0100 0.0024
10 1.2804 nan 0.0100 0.0022
20 1.2384 nan 0.0100 0.0020
40 1.1729 nan 0.0100 0.0013
60 1.1273 nan 0.0100 0.0010
80 1.0898 nan 0.0100 0.0008
100 1.0602 nan 0.0100 0.0006
120 1.0353 nan 0.0100 0.0005
140 1.0154 nan 0.0100 0.0005
160 0.9974 nan 0.0100 0.0003
180 0.9821 nan 0.0100 0.0002
200 0.9689 nan 0.0100 0.0002
220 0.9567 nan 0.0100 0.0002
240 0.9457 nan 0.0100 0.0001
260 0.9358 nan 0.0100 0.0000
280 0.9270 nan 0.0100 0.0001
300 0.9188 nan 0.0100 0.0002
320 0.9111 nan 0.0100 0.0001
340 0.9041 nan 0.0100 0.0000
360 0.8978 nan 0.0100 -0.0000
380 0.8921 nan 0.0100 -0.0000
400 0.8864 nan 0.0100 0.0001
420 0.8815 nan 0.0100 -0.0000
440 0.8770 nan 0.0100 0.0000
460 0.8723 nan 0.0100 0.0000
480 0.8677 nan 0.0100 0.0001
500 0.8637 nan 0.0100 -0.0000
520 0.8597 nan 0.0100 0.0001
540 0.8562 nan 0.0100 -0.0000
560 0.8526 nan 0.0100 0.0000
580 0.8497 nan 0.0100 0.0000
600 0.8461 nan 0.0100 0.0000
620 0.8435 nan 0.0100 0.0000
640 0.8405 nan 0.0100 -0.0001
660 0.8378 nan 0.0100 -0.0001
680 0.8351 nan 0.0100 -0.0001
700 0.8325 nan 0.0100 -0.0001
720 0.8298 nan 0.0100 -0.0000
740 0.8272 nan 0.0100 -0.0000
760 0.8246 nan 0.0100 0.0000
780 0.8223 nan 0.0100 -0.0000
800 0.8200 nan 0.0100 -0.0000
820 0.8179 nan 0.0100 -0.0001
840 0.8157 nan 0.0100 -0.0001
860 0.8142 nan 0.0100 -0.0002
880 0.8123 nan 0.0100 -0.0001
900 0.8106 nan 0.0100 -0.0001
920 0.8088 nan 0.0100 0.0000
940 0.8070 nan 0.0100 -0.0000
960 0.8056 nan 0.0100 -0.0001
980 0.8040 nan 0.0100 -0.0000
1000 0.8023 nan 0.0100 -0.0000
1020 0.8009 nan 0.0100 -0.0001
1040 0.7992 nan 0.0100 -0.0001
1060 0.7977 nan 0.0100 -0.0000
1080 0.7962 nan 0.0100 -0.0000
1100 0.7951 nan 0.0100 -0.0001
- Fold03.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3249 nan 0.0100 0.0036
2 1.3180 nan 0.0100 0.0035
3 1.3107 nan 0.0100 0.0035
4 1.3031 nan 0.0100 0.0032
5 1.2963 nan 0.0100 0.0036
6 1.2894 nan 0.0100 0.0031
7 1.2827 nan 0.0100 0.0032
8 1.2762 nan 0.0100 0.0032
9 1.2701 nan 0.0100 0.0027
10 1.2638 nan 0.0100 0.0029
20 1.2079 nan 0.0100 0.0026
40 1.1237 nan 0.0100 0.0019
60 1.0619 nan 0.0100 0.0013
80 1.0148 nan 0.0100 0.0009
100 0.9771 nan 0.0100 0.0007
120 0.9488 nan 0.0100 0.0006
140 0.9262 nan 0.0100 0.0004
160 0.9073 nan 0.0100 0.0003
180 0.8918 nan 0.0100 0.0002
200 0.8786 nan 0.0100 0.0002
220 0.8662 nan 0.0100 0.0002
240 0.8556 nan 0.0100 0.0003
260 0.8466 nan 0.0100 0.0001
280 0.8381 nan 0.0100 0.0000
300 0.8301 nan 0.0100 0.0000
320 0.8224 nan 0.0100 0.0000
340 0.8156 nan 0.0100 0.0000
360 0.8093 nan 0.0100 0.0001
380 0.8036 nan 0.0100 0.0001
400 0.7983 nan 0.0100 -0.0001
420 0.7931 nan 0.0100 -0.0001
440 0.7886 nan 0.0100 -0.0000
460 0.7842 nan 0.0100 0.0000
480 0.7801 nan 0.0100 -0.0000
500 0.7763 nan 0.0100 -0.0001
520 0.7728 nan 0.0100 -0.0001
540 0.7691 nan 0.0100 0.0000
560 0.7656 nan 0.0100 -0.0002
580 0.7623 nan 0.0100 -0.0000
600 0.7592 nan 0.0100 -0.0000
620 0.7558 nan 0.0100 0.0000
640 0.7529 nan 0.0100 -0.0000
660 0.7499 nan 0.0100 -0.0001
680 0.7467 nan 0.0100 -0.0001
700 0.7440 nan 0.0100 -0.0000
720 0.7411 nan 0.0100 -0.0001
740 0.7389 nan 0.0100 -0.0000
760 0.7360 nan 0.0100 -0.0000
780 0.7339 nan 0.0100 -0.0001
800 0.7314 nan 0.0100 -0.0000
820 0.7291 nan 0.0100 -0.0000
840 0.7265 nan 0.0100 -0.0001
860 0.7242 nan 0.0100 -0.0001
880 0.7216 nan 0.0100 -0.0000
900 0.7196 nan 0.0100 -0.0000
920 0.7174 nan 0.0100 -0.0001
940 0.7152 nan 0.0100 -0.0001
960 0.7129 nan 0.0100 -0.0001
980 0.7108 nan 0.0100 -0.0002
1000 0.7084 nan 0.0100 -0.0001
1020 0.7061 nan 0.0100 -0.0001
1040 0.7041 nan 0.0100 -0.0001
1060 0.7023 nan 0.0100 -0.0001
1080 0.7006 nan 0.0100 -0.0001
1100 0.6986 nan 0.0100 -0.0001
- Fold03.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3236 nan 0.0100 0.0035
2 1.3155 nan 0.0100 0.0039
3 1.3079 nan 0.0100 0.0038
4 1.3006 nan 0.0100 0.0037
5 1.2929 nan 0.0100 0.0037
6 1.2855 nan 0.0100 0.0034
7 1.2779 nan 0.0100 0.0037
8 1.2707 nan 0.0100 0.0033
9 1.2638 nan 0.0100 0.0033
10 1.2567 nan 0.0100 0.0033
20 1.1948 nan 0.0100 0.0026
40 1.0992 nan 0.0100 0.0019
60 1.0289 nan 0.0100 0.0014
80 0.9787 nan 0.0100 0.0010
100 0.9393 nan 0.0100 0.0008
120 0.9115 nan 0.0100 0.0003
140 0.8881 nan 0.0100 0.0006
160 0.8681 nan 0.0100 0.0002
180 0.8523 nan 0.0100 0.0001
200 0.8376 nan 0.0100 0.0003
220 0.8247 nan 0.0100 0.0003
240 0.8137 nan 0.0100 -0.0000
260 0.8032 nan 0.0100 -0.0000
280 0.7934 nan 0.0100 0.0002
300 0.7854 nan 0.0100 -0.0000
320 0.7781 nan 0.0100 0.0000
340 0.7711 nan 0.0100 -0.0001
360 0.7652 nan 0.0100 -0.0001
380 0.7591 nan 0.0100 -0.0002
400 0.7538 nan 0.0100 0.0000
420 0.7481 nan 0.0100 -0.0001
440 0.7430 nan 0.0100 -0.0000
460 0.7383 nan 0.0100 -0.0001
480 0.7339 nan 0.0100 -0.0000
500 0.7296 nan 0.0100 -0.0003
520 0.7256 nan 0.0100 -0.0001
540 0.7217 nan 0.0100 -0.0002
560 0.7177 nan 0.0100 -0.0002
580 0.7135 nan 0.0100 -0.0001
600 0.7101 nan 0.0100 -0.0001
620 0.7062 nan 0.0100 -0.0001
640 0.7026 nan 0.0100 -0.0001
660 0.6993 nan 0.0100 -0.0000
680 0.6959 nan 0.0100 -0.0002
700 0.6923 nan 0.0100 -0.0000
720 0.6892 nan 0.0100 -0.0000
740 0.6862 nan 0.0100 -0.0001
760 0.6832 nan 0.0100 -0.0001
780 0.6799 nan 0.0100 -0.0001
800 0.6769 nan 0.0100 -0.0000
820 0.6741 nan 0.0100 -0.0001
840 0.6707 nan 0.0100 -0.0000
860 0.6676 nan 0.0100 -0.0001
880 0.6651 nan 0.0100 0.0000
900 0.6622 nan 0.0100 -0.0000
920 0.6594 nan 0.0100 -0.0001
940 0.6565 nan 0.0100 -0.0001
960 0.6537 nan 0.0100 -0.0001
980 0.6517 nan 0.0100 -0.0001
1000 0.6495 nan 0.0100 -0.0001
1020 0.6467 nan 0.0100 -0.0001
1040 0.6442 nan 0.0100 -0.0002
1060 0.6413 nan 0.0100 -0.0001
1080 0.6385 nan 0.0100 -0.0002
1100 0.6359 nan 0.0100 -0.0001
- Fold03.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2831 nan 0.1000 0.0271
2 1.2389 nan 0.1000 0.0223
3 1.1998 nan 0.1000 0.0192
4 1.1725 nan 0.1000 0.0143
5 1.1441 nan 0.1000 0.0131
6 1.1211 nan 0.1000 0.0106
7 1.1030 nan 0.1000 0.0084
8 1.0884 nan 0.1000 0.0070
9 1.0697 nan 0.1000 0.0081
10 1.0576 nan 0.1000 0.0051
20 0.9660 nan 0.1000 0.0030
40 0.8855 nan 0.1000 0.0005
60 0.8441 nan 0.1000 -0.0000
80 0.8197 nan 0.1000 -0.0005
100 0.8004 nan 0.1000 -0.0005
120 0.7885 nan 0.1000 -0.0006
140 0.7779 nan 0.1000 -0.0006
160 0.7713 nan 0.1000 -0.0009
180 0.7658 nan 0.1000 -0.0018
200 0.7596 nan 0.1000 -0.0007
220 0.7532 nan 0.1000 -0.0007
240 0.7484 nan 0.1000 -0.0002
260 0.7436 nan 0.1000 -0.0004
280 0.7381 nan 0.1000 -0.0007
300 0.7356 nan 0.1000 -0.0007
320 0.7322 nan 0.1000 -0.0002
340 0.7275 nan 0.1000 -0.0012
360 0.7232 nan 0.1000 -0.0011
380 0.7207 nan 0.1000 -0.0013
400 0.7157 nan 0.1000 -0.0015
420 0.7146 nan 0.1000 -0.0008
440 0.7127 nan 0.1000 -0.0008
460 0.7106 nan 0.1000 -0.0002
480 0.7067 nan 0.1000 -0.0011
500 0.7029 nan 0.1000 -0.0006
520 0.7003 nan 0.1000 -0.0011
540 0.6979 nan 0.1000 -0.0005
560 0.6955 nan 0.1000 -0.0005
580 0.6948 nan 0.1000 -0.0004
600 0.6928 nan 0.1000 -0.0013
620 0.6912 nan 0.1000 -0.0010
640 0.6889 nan 0.1000 -0.0007
660 0.6874 nan 0.1000 -0.0006
680 0.6865 nan 0.1000 -0.0011
700 0.6848 nan 0.1000 -0.0004
720 0.6830 nan 0.1000 -0.0008
740 0.6813 nan 0.1000 -0.0006
760 0.6792 nan 0.1000 -0.0001
780 0.6771 nan 0.1000 -0.0005
800 0.6741 nan 0.1000 -0.0006
820 0.6725 nan 0.1000 -0.0009
840 0.6716 nan 0.1000 -0.0008
860 0.6700 nan 0.1000 -0.0007
880 0.6686 nan 0.1000 -0.0005
900 0.6674 nan 0.1000 -0.0007
920 0.6672 nan 0.1000 -0.0012
940 0.6652 nan 0.1000 -0.0011
960 0.6645 nan 0.1000 -0.0010
980 0.6634 nan 0.1000 -0.0005
1000 0.6613 nan 0.1000 -0.0009
1020 0.6601 nan 0.1000 -0.0005
1040 0.6580 nan 0.1000 -0.0005
1060 0.6565 nan 0.1000 -0.0010
1080 0.6558 nan 0.1000 -0.0006
1100 0.6551 nan 0.1000 -0.0007
- Fold03.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2632 nan 0.1000 0.0347
2 1.2124 nan 0.1000 0.0250
3 1.1619 nan 0.1000 0.0225
4 1.1188 nan 0.1000 0.0219
5 1.0840 nan 0.1000 0.0177
6 1.0517 nan 0.1000 0.0153
7 1.0278 nan 0.1000 0.0116
8 1.0087 nan 0.1000 0.0097
9 0.9889 nan 0.1000 0.0100
10 0.9717 nan 0.1000 0.0079
20 0.8754 nan 0.1000 0.0034
40 0.7984 nan 0.1000 -0.0000
60 0.7631 nan 0.1000 -0.0017
80 0.7391 nan 0.1000 0.0001
100 0.7182 nan 0.1000 -0.0009
120 0.7017 nan 0.1000 -0.0015
140 0.6828 nan 0.1000 -0.0015
160 0.6695 nan 0.1000 -0.0012
180 0.6592 nan 0.1000 -0.0005
200 0.6507 nan 0.1000 -0.0014
220 0.6395 nan 0.1000 -0.0008
240 0.6239 nan 0.1000 -0.0010
260 0.6144 nan 0.1000 -0.0013
280 0.6037 nan 0.1000 -0.0009
300 0.5920 nan 0.1000 -0.0010
320 0.5823 nan 0.1000 -0.0010
340 0.5745 nan 0.1000 -0.0008
360 0.5656 nan 0.1000 -0.0007
380 0.5584 nan 0.1000 -0.0010
400 0.5515 nan 0.1000 -0.0007
420 0.5438 nan 0.1000 -0.0008
440 0.5393 nan 0.1000 -0.0006
460 0.5336 nan 0.1000 -0.0007
480 0.5268 nan 0.1000 -0.0005
500 0.5214 nan 0.1000 -0.0014
520 0.5148 nan 0.1000 -0.0013
540 0.5091 nan 0.1000 -0.0008
560 0.5028 nan 0.1000 -0.0007
580 0.4979 nan 0.1000 -0.0009
600 0.4938 nan 0.1000 -0.0008
620 0.4904 nan 0.1000 -0.0014
640 0.4849 nan 0.1000 -0.0015
660 0.4802 nan 0.1000 -0.0013
680 0.4764 nan 0.1000 -0.0009
700 0.4712 nan 0.1000 -0.0007
720 0.4684 nan 0.1000 -0.0004
740 0.4626 nan 0.1000 -0.0008
760 0.4591 nan 0.1000 -0.0007
780 0.4553 nan 0.1000 -0.0007
800 0.4524 nan 0.1000 -0.0010
820 0.4460 nan 0.1000 -0.0006
840 0.4420 nan 0.1000 -0.0009
860 0.4385 nan 0.1000 -0.0005
880 0.4340 nan 0.1000 -0.0010
900 0.4313 nan 0.1000 -0.0008
920 0.4273 nan 0.1000 -0.0008
940 0.4248 nan 0.1000 -0.0005
960 0.4219 nan 0.1000 -0.0012
980 0.4196 nan 0.1000 -0.0008
1000 0.4158 nan 0.1000 -0.0010
1020 0.4112 nan 0.1000 -0.0005
1040 0.4100 nan 0.1000 -0.0014
1060 0.4063 nan 0.1000 -0.0007
1080 0.4035 nan 0.1000 -0.0004
1100 0.3999 nan 0.1000 -0.0010
- Fold03.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold03.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 13: title.Capt has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2541 nan 0.1000 0.0371
2 1.1949 nan 0.1000 0.0295
3 1.1434 nan 0.1000 0.0244
4 1.0964 nan 0.1000 0.0221
5 1.0615 nan 0.1000 0.0181
6 1.0256 nan 0.1000 0.0165
7 0.9941 nan 0.1000 0.0133
8 0.9683 nan 0.1000 0.0119
9 0.9492 nan 0.1000 0.0090
10 0.9388 nan 0.1000 0.0024
20 0.8373 nan 0.1000 0.0019
40 0.7536 nan 0.1000 -0.0009
60 0.7075 nan 0.1000 -0.0010
80 0.6721 nan 0.1000 -0.0007
100 0.6421 nan 0.1000 -0.0005
120 0.6193 nan 0.1000 -0.0024
140 0.6027 nan 0.1000 -0.0008
160 0.5867 nan 0.1000 -0.0018
180 0.5683 nan 0.1000 -0.0000
200 0.5540 nan 0.1000 -0.0010
220 0.5369 nan 0.1000 -0.0013
240 0.5231 nan 0.1000 -0.0010
260 0.5118 nan 0.1000 -0.0013
280 0.4986 nan 0.1000 -0.0012
300 0.4901 nan 0.1000 -0.0013
320 0.4780 nan 0.1000 -0.0009
340 0.4710 nan 0.1000 -0.0016
360 0.4615 nan 0.1000 -0.0014
380 0.4505 nan 0.1000 -0.0017
400 0.4427 nan 0.1000 -0.0013
420 0.4347 nan 0.1000 -0.0013
440 0.4257 nan 0.1000 -0.0015
460 0.4177 nan 0.1000 -0.0010
480 0.4092 nan 0.1000 -0.0009
500 0.4016 nan 0.1000 -0.0017
520 0.3952 nan 0.1000 -0.0009
540 0.3900 nan 0.1000 -0.0014
560 0.3835 nan 0.1000 -0.0007
580 0.3776 nan 0.1000 -0.0005
600 0.3718 nan 0.1000 -0.0006
620 0.3648 nan 0.1000 -0.0005
640 0.3584 nan 0.1000 -0.0011
660 0.3531 nan 0.1000 -0.0006
680 0.3484 nan 0.1000 -0.0011
700 0.3414 nan 0.1000 -0.0009
720 0.3387 nan 0.1000 -0.0014
740 0.3345 nan 0.1000 -0.0007
760 0.3300 nan 0.1000 -0.0011
780 0.3265 nan 0.1000 -0.0014
800 0.3229 nan 0.1000 -0.0013
820 0.3184 nan 0.1000 -0.0008
840 0.3140 nan 0.1000 -0.0014
860 0.3091 nan 0.1000 -0.0010
880 0.3060 nan 0.1000 -0.0006
900 0.3002 nan 0.1000 -0.0008
920 0.2966 nan 0.1000 -0.0005
940 0.2930 nan 0.1000 -0.0010
960 0.2897 nan 0.1000 -0.0005
980 0.2857 nan 0.1000 -0.0014
1000 0.2823 nan 0.1000 -0.0013
1020 0.2789 nan 0.1000 -0.0013
1040 0.2742 nan 0.1000 -0.0008
1060 0.2716 nan 0.1000 -0.0008
1080 0.2690 nan 0.1000 -0.0010
1100 0.2666 nan 0.1000 -0.0011
- Fold03.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3260 nan 0.0100 0.0032
2 1.3203 nan 0.0100 0.0030
3 1.3142 nan 0.0100 0.0030
4 1.3080 nan 0.0100 0.0029
5 1.3018 nan 0.0100 0.0028
6 1.2958 nan 0.0100 0.0027
7 1.2899 nan 0.0100 0.0027
8 1.2839 nan 0.0100 0.0027
9 1.2787 nan 0.0100 0.0027
10 1.2732 nan 0.0100 0.0026
20 1.2271 nan 0.0100 0.0022
40 1.1519 nan 0.0100 0.0015
60 1.1019 nan 0.0100 0.0008
80 1.0647 nan 0.0100 0.0008
100 1.0340 nan 0.0100 0.0007
120 1.0082 nan 0.0100 0.0005
140 0.9869 nan 0.0100 0.0004
160 0.9691 nan 0.0100 0.0002
180 0.9536 nan 0.0100 0.0000
200 0.9396 nan 0.0100 0.0003
220 0.9276 nan 0.0100 0.0002
240 0.9164 nan 0.0100 0.0002
260 0.9064 nan 0.0100 0.0002
280 0.8978 nan 0.0100 0.0000
300 0.8896 nan 0.0100 0.0002
320 0.8826 nan 0.0100 0.0001
340 0.8754 nan 0.0100 0.0001
360 0.8693 nan 0.0100 0.0002
380 0.8636 nan 0.0100 0.0001
400 0.8585 nan 0.0100 0.0000
420 0.8538 nan 0.0100 -0.0001
440 0.8491 nan 0.0100 0.0000
460 0.8445 nan 0.0100 0.0001
480 0.8403 nan 0.0100 0.0000
500 0.8365 nan 0.0100 -0.0002
520 0.8327 nan 0.0100 0.0000
540 0.8289 nan 0.0100 -0.0000
560 0.8253 nan 0.0100 0.0000
580 0.8222 nan 0.0100 0.0000
600 0.8193 nan 0.0100 0.0000
620 0.8163 nan 0.0100 0.0000
640 0.8136 nan 0.0100 -0.0000
660 0.8107 nan 0.0100 -0.0000
680 0.8078 nan 0.0100 -0.0000
700 0.8054 nan 0.0100 -0.0000
720 0.8029 nan 0.0100 -0.0001
740 0.8005 nan 0.0100 -0.0000
760 0.7982 nan 0.0100 -0.0000
780 0.7960 nan 0.0100 0.0000
800 0.7938 nan 0.0100 -0.0000
820 0.7917 nan 0.0100 0.0000
840 0.7898 nan 0.0100 -0.0000
860 0.7881 nan 0.0100 -0.0001
880 0.7861 nan 0.0100 -0.0001
900 0.7842 nan 0.0100 -0.0001
920 0.7825 nan 0.0100 -0.0000
940 0.7806 nan 0.0100 -0.0000
960 0.7789 nan 0.0100 -0.0001
980 0.7774 nan 0.0100 -0.0001
1000 0.7757 nan 0.0100 -0.0000
1020 0.7741 nan 0.0100 0.0000
1040 0.7725 nan 0.0100 -0.0000
1060 0.7710 nan 0.0100 -0.0000
1080 0.7696 nan 0.0100 -0.0000
1100 0.7682 nan 0.0100 -0.0001
- Fold04.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3241 nan 0.0100 0.0036
2 1.3162 nan 0.0100 0.0039
3 1.3090 nan 0.0100 0.0036
4 1.3017 nan 0.0100 0.0035
5 1.2945 nan 0.0100 0.0037
6 1.2878 nan 0.0100 0.0035
7 1.2806 nan 0.0100 0.0034
8 1.2739 nan 0.0100 0.0034
9 1.2671 nan 0.0100 0.0033
10 1.2608 nan 0.0100 0.0031
20 1.2025 nan 0.0100 0.0027
40 1.1107 nan 0.0100 0.0018
60 1.0444 nan 0.0100 0.0014
80 0.9946 nan 0.0100 0.0010
100 0.9564 nan 0.0100 0.0006
120 0.9263 nan 0.0100 0.0003
140 0.9029 nan 0.0100 0.0005
160 0.8834 nan 0.0100 0.0002
180 0.8670 nan 0.0100 0.0002
200 0.8531 nan 0.0100 0.0001
220 0.8424 nan 0.0100 0.0002
240 0.8330 nan 0.0100 0.0001
260 0.8240 nan 0.0100 0.0001
280 0.8159 nan 0.0100 0.0001
300 0.8083 nan 0.0100 0.0000
320 0.8009 nan 0.0100 0.0001
340 0.7948 nan 0.0100 0.0001
360 0.7885 nan 0.0100 -0.0000
380 0.7828 nan 0.0100 0.0001
400 0.7780 nan 0.0100 -0.0001
420 0.7728 nan 0.0100 0.0000
440 0.7685 nan 0.0100 0.0001
460 0.7640 nan 0.0100 -0.0000
480 0.7600 nan 0.0100 -0.0001
500 0.7559 nan 0.0100 -0.0002
520 0.7522 nan 0.0100 -0.0000
540 0.7485 nan 0.0100 -0.0000
560 0.7451 nan 0.0100 -0.0001
580 0.7419 nan 0.0100 -0.0001
600 0.7392 nan 0.0100 -0.0000
620 0.7367 nan 0.0100 -0.0001
640 0.7336 nan 0.0100 0.0000
660 0.7313 nan 0.0100 -0.0000
680 0.7286 nan 0.0100 -0.0001
700 0.7260 nan 0.0100 -0.0001
720 0.7232 nan 0.0100 -0.0001
740 0.7204 nan 0.0100 -0.0001
760 0.7180 nan 0.0100 -0.0001
780 0.7157 nan 0.0100 -0.0001
800 0.7130 nan 0.0100 0.0000
820 0.7109 nan 0.0100 -0.0001
840 0.7087 nan 0.0100 -0.0001
860 0.7064 nan 0.0100 -0.0001
880 0.7040 nan 0.0100 -0.0000
900 0.7018 nan 0.0100 -0.0001
920 0.6996 nan 0.0100 -0.0001
940 0.6973 nan 0.0100 -0.0002
960 0.6954 nan 0.0100 -0.0000
980 0.6934 nan 0.0100 -0.0001
1000 0.6913 nan 0.0100 -0.0000
1020 0.6890 nan 0.0100 -0.0000
1040 0.6873 nan 0.0100 -0.0000
1060 0.6857 nan 0.0100 -0.0001
1080 0.6837 nan 0.0100 -0.0001
1100 0.6819 nan 0.0100 -0.0001
- Fold04.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3236 nan 0.0100 0.0038
2 1.3158 nan 0.0100 0.0036
3 1.3074 nan 0.0100 0.0039
4 1.2996 nan 0.0100 0.0040
5 1.2918 nan 0.0100 0.0037
6 1.2843 nan 0.0100 0.0037
7 1.2766 nan 0.0100 0.0037
8 1.2692 nan 0.0100 0.0034
9 1.2622 nan 0.0100 0.0036
10 1.2551 nan 0.0100 0.0035
20 1.1898 nan 0.0100 0.0026
40 1.0905 nan 0.0100 0.0021
60 1.0166 nan 0.0100 0.0015
80 0.9620 nan 0.0100 0.0011
100 0.9211 nan 0.0100 0.0007
120 0.8924 nan 0.0100 0.0006
140 0.8669 nan 0.0100 0.0004
160 0.8468 nan 0.0100 0.0002
180 0.8306 nan 0.0100 0.0001
200 0.8163 nan 0.0100 0.0001
220 0.8039 nan 0.0100 0.0000
240 0.7936 nan 0.0100 -0.0000
260 0.7839 nan 0.0100 0.0001
280 0.7751 nan 0.0100 0.0001
300 0.7670 nan 0.0100 0.0002
320 0.7597 nan 0.0100 0.0002
340 0.7533 nan 0.0100 -0.0001
360 0.7468 nan 0.0100 0.0000
380 0.7409 nan 0.0100 -0.0001
400 0.7356 nan 0.0100 -0.0000
420 0.7308 nan 0.0100 -0.0000
440 0.7254 nan 0.0100 -0.0001
460 0.7205 nan 0.0100 -0.0001
480 0.7157 nan 0.0100 -0.0001
500 0.7113 nan 0.0100 -0.0001
520 0.7070 nan 0.0100 -0.0001
540 0.7028 nan 0.0100 -0.0000
560 0.6988 nan 0.0100 -0.0000
580 0.6948 nan 0.0100 -0.0001
600 0.6911 nan 0.0100 -0.0002
620 0.6870 nan 0.0100 -0.0001
640 0.6831 nan 0.0100 -0.0001
660 0.6795 nan 0.0100 -0.0000
680 0.6766 nan 0.0100 -0.0001
700 0.6734 nan 0.0100 -0.0001
720 0.6703 nan 0.0100 -0.0001
740 0.6672 nan 0.0100 -0.0001
760 0.6641 nan 0.0100 -0.0001
780 0.6610 nan 0.0100 -0.0001
800 0.6578 nan 0.0100 -0.0001
820 0.6549 nan 0.0100 -0.0001
840 0.6523 nan 0.0100 -0.0002
860 0.6495 nan 0.0100 -0.0002
880 0.6468 nan 0.0100 -0.0002
900 0.6441 nan 0.0100 -0.0002
920 0.6413 nan 0.0100 -0.0001
940 0.6383 nan 0.0100 -0.0001
960 0.6355 nan 0.0100 -0.0000
980 0.6329 nan 0.0100 -0.0001
1000 0.6303 nan 0.0100 -0.0001
1020 0.6277 nan 0.0100 -0.0001
1040 0.6250 nan 0.0100 -0.0001
1060 0.6229 nan 0.0100 -0.0001
1080 0.6205 nan 0.0100 -0.0002
1100 0.6179 nan 0.0100 -0.0001
- Fold04.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2744 nan 0.1000 0.0299
2 1.2218 nan 0.1000 0.0240
3 1.1791 nan 0.1000 0.0202
4 1.1433 nan 0.1000 0.0165
5 1.1190 nan 0.1000 0.0133
6 1.1009 nan 0.1000 0.0082
7 1.0791 nan 0.1000 0.0109
8 1.0593 nan 0.1000 0.0092
9 1.0424 nan 0.1000 0.0072
10 1.0282 nan 0.1000 0.0064
20 0.9353 nan 0.1000 0.0024
40 0.8547 nan 0.1000 0.0004
60 0.8185 nan 0.1000 0.0002
80 0.7943 nan 0.1000 -0.0006
100 0.7768 nan 0.1000 -0.0004
120 0.7654 nan 0.1000 -0.0006
140 0.7536 nan 0.1000 -0.0003
160 0.7451 nan 0.1000 -0.0003
180 0.7364 nan 0.1000 -0.0007
200 0.7305 nan 0.1000 -0.0008
220 0.7242 nan 0.1000 -0.0011
240 0.7176 nan 0.1000 -0.0012
260 0.7123 nan 0.1000 -0.0010
280 0.7093 nan 0.1000 -0.0006
300 0.7056 nan 0.1000 -0.0010
320 0.7005 nan 0.1000 -0.0003
340 0.6967 nan 0.1000 -0.0012
360 0.6933 nan 0.1000 -0.0009
380 0.6892 nan 0.1000 -0.0013
400 0.6863 nan 0.1000 -0.0008
420 0.6834 nan 0.1000 -0.0005
440 0.6808 nan 0.1000 -0.0010
460 0.6774 nan 0.1000 -0.0004
480 0.6750 nan 0.1000 -0.0014
500 0.6728 nan 0.1000 -0.0006
520 0.6701 nan 0.1000 -0.0009
540 0.6669 nan 0.1000 -0.0014
560 0.6646 nan 0.1000 -0.0008
580 0.6635 nan 0.1000 -0.0010
600 0.6606 nan 0.1000 -0.0006
620 0.6590 nan 0.1000 -0.0004
640 0.6572 nan 0.1000 -0.0006
660 0.6542 nan 0.1000 -0.0011
680 0.6519 nan 0.1000 -0.0008
700 0.6496 nan 0.1000 -0.0008
720 0.6491 nan 0.1000 -0.0011
740 0.6466 nan 0.1000 -0.0007
760 0.6436 nan 0.1000 -0.0005
780 0.6415 nan 0.1000 -0.0003
800 0.6399 nan 0.1000 -0.0006
820 0.6372 nan 0.1000 -0.0015
840 0.6367 nan 0.1000 -0.0003
860 0.6351 nan 0.1000 -0.0004
880 0.6335 nan 0.1000 -0.0013
900 0.6323 nan 0.1000 -0.0005
920 0.6304 nan 0.1000 -0.0007
940 0.6283 nan 0.1000 -0.0009
960 0.6269 nan 0.1000 -0.0003
980 0.6248 nan 0.1000 -0.0005
1000 0.6239 nan 0.1000 -0.0005
1020 0.6217 nan 0.1000 -0.0004
1040 0.6199 nan 0.1000 -0.0009
1060 0.6179 nan 0.1000 -0.0018
1080 0.6167 nan 0.1000 -0.0008
1100 0.6147 nan 0.1000 -0.0004
- Fold04.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2643 nan 0.1000 0.0365
2 1.2028 nan 0.1000 0.0306
3 1.1541 nan 0.1000 0.0253
4 1.1120 nan 0.1000 0.0219
5 1.0730 nan 0.1000 0.0172
6 1.0413 nan 0.1000 0.0153
7 1.0146 nan 0.1000 0.0121
8 0.9915 nan 0.1000 0.0111
9 0.9718 nan 0.1000 0.0099
10 0.9546 nan 0.1000 0.0081
20 0.8505 nan 0.1000 0.0032
40 0.7783 nan 0.1000 -0.0012
60 0.7399 nan 0.1000 -0.0021
80 0.7126 nan 0.1000 -0.0009
100 0.6908 nan 0.1000 -0.0007
120 0.6724 nan 0.1000 -0.0013
140 0.6506 nan 0.1000 -0.0019
160 0.6344 nan 0.1000 0.0000
180 0.6239 nan 0.1000 -0.0009
200 0.6121 nan 0.1000 -0.0018
220 0.5999 nan 0.1000 -0.0012
240 0.5898 nan 0.1000 -0.0006
260 0.5783 nan 0.1000 -0.0003
280 0.5695 nan 0.1000 -0.0016
300 0.5577 nan 0.1000 -0.0009
320 0.5484 nan 0.1000 -0.0010
340 0.5372 nan 0.1000 -0.0007
360 0.5289 nan 0.1000 -0.0013
380 0.5199 nan 0.1000 -0.0006
400 0.5149 nan 0.1000 -0.0013
420 0.5074 nan 0.1000 -0.0010
440 0.5000 nan 0.1000 -0.0008
460 0.4926 nan 0.1000 -0.0008
480 0.4863 nan 0.1000 -0.0001
500 0.4804 nan 0.1000 -0.0009
520 0.4763 nan 0.1000 -0.0010
540 0.4696 nan 0.1000 -0.0012
560 0.4647 nan 0.1000 -0.0008
580 0.4588 nan 0.1000 -0.0008
600 0.4545 nan 0.1000 -0.0006
620 0.4503 nan 0.1000 -0.0017
640 0.4440 nan 0.1000 -0.0013
660 0.4402 nan 0.1000 -0.0009
680 0.4335 nan 0.1000 -0.0009
700 0.4304 nan 0.1000 -0.0004
720 0.4263 nan 0.1000 -0.0006
740 0.4224 nan 0.1000 -0.0008
760 0.4188 nan 0.1000 -0.0007
780 0.4149 nan 0.1000 -0.0009
800 0.4096 nan 0.1000 -0.0004
820 0.4065 nan 0.1000 -0.0010
840 0.4015 nan 0.1000 -0.0010
860 0.3971 nan 0.1000 -0.0004
880 0.3929 nan 0.1000 -0.0007
900 0.3892 nan 0.1000 -0.0003
920 0.3864 nan 0.1000 -0.0005
940 0.3835 nan 0.1000 -0.0007
960 0.3811 nan 0.1000 -0.0011
980 0.3781 nan 0.1000 -0.0009
1000 0.3765 nan 0.1000 -0.0010
1020 0.3738 nan 0.1000 -0.0012
1040 0.3693 nan 0.1000 -0.0007
1060 0.3684 nan 0.1000 -0.0012
1080 0.3647 nan 0.1000 -0.0005
1100 0.3624 nan 0.1000 -0.0010
- Fold04.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold04.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2460 nan 0.1000 0.0371
2 1.1810 nan 0.1000 0.0320
3 1.1319 nan 0.1000 0.0241
4 1.0854 nan 0.1000 0.0185
5 1.0471 nan 0.1000 0.0190
6 1.0159 nan 0.1000 0.0166
7 0.9862 nan 0.1000 0.0139
8 0.9574 nan 0.1000 0.0117
9 0.9315 nan 0.1000 0.0096
10 0.9132 nan 0.1000 0.0070
20 0.8171 nan 0.1000 0.0022
40 0.7397 nan 0.1000 0.0009
60 0.6941 nan 0.1000 -0.0009
80 0.6582 nan 0.1000 -0.0012
100 0.6274 nan 0.1000 -0.0011
120 0.6023 nan 0.1000 -0.0008
140 0.5818 nan 0.1000 -0.0009
160 0.5637 nan 0.1000 -0.0017
180 0.5489 nan 0.1000 -0.0009
200 0.5378 nan 0.1000 -0.0007
220 0.5263 nan 0.1000 -0.0015
240 0.5130 nan 0.1000 -0.0011
260 0.5003 nan 0.1000 -0.0009
280 0.4856 nan 0.1000 -0.0010
300 0.4743 nan 0.1000 -0.0010
320 0.4636 nan 0.1000 -0.0015
340 0.4543 nan 0.1000 -0.0015
360 0.4439 nan 0.1000 -0.0011
380 0.4373 nan 0.1000 -0.0007
400 0.4293 nan 0.1000 -0.0016
420 0.4188 nan 0.1000 -0.0010
440 0.4094 nan 0.1000 -0.0007
460 0.3980 nan 0.1000 -0.0013
480 0.3910 nan 0.1000 -0.0010
500 0.3846 nan 0.1000 -0.0009
520 0.3772 nan 0.1000 -0.0007
540 0.3703 nan 0.1000 -0.0006
560 0.3637 nan 0.1000 -0.0015
580 0.3568 nan 0.1000 -0.0019
600 0.3519 nan 0.1000 -0.0011
620 0.3467 nan 0.1000 -0.0006
640 0.3421 nan 0.1000 -0.0009
660 0.3370 nan 0.1000 -0.0009
680 0.3316 nan 0.1000 -0.0008
700 0.3266 nan 0.1000 -0.0008
720 0.3217 nan 0.1000 -0.0008
740 0.3167 nan 0.1000 -0.0010
760 0.3144 nan 0.1000 -0.0010
780 0.3081 nan 0.1000 -0.0006
800 0.3020 nan 0.1000 -0.0006
820 0.2965 nan 0.1000 -0.0008
840 0.2915 nan 0.1000 -0.0014
860 0.2875 nan 0.1000 -0.0006
880 0.2823 nan 0.1000 -0.0009
900 0.2782 nan 0.1000 -0.0008
920 0.2741 nan 0.1000 -0.0005
940 0.2699 nan 0.1000 -0.0011
960 0.2651 nan 0.1000 -0.0012
980 0.2613 nan 0.1000 -0.0006
1000 0.2574 nan 0.1000 -0.0012
1020 0.2541 nan 0.1000 -0.0007
1040 0.2496 nan 0.1000 -0.0006
1060 0.2455 nan 0.1000 -0.0005
1080 0.2418 nan 0.1000 -0.0009
1100 0.2375 nan 0.1000 -0.0005
- Fold04.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3253 nan 0.0100 0.0031
2 1.3198 nan 0.0100 0.0029
3 1.3140 nan 0.0100 0.0030
4 1.3081 nan 0.0100 0.0027
5 1.3029 nan 0.0100 0.0028
6 1.2974 nan 0.0100 0.0028
7 1.2915 nan 0.0100 0.0027
8 1.2864 nan 0.0100 0.0027
9 1.2812 nan 0.0100 0.0026
10 1.2761 nan 0.0100 0.0026
20 1.2285 nan 0.0100 0.0021
40 1.1566 nan 0.0100 0.0015
60 1.1087 nan 0.0100 0.0010
80 1.0710 nan 0.0100 0.0007
100 1.0396 nan 0.0100 0.0006
120 1.0140 nan 0.0100 0.0005
140 0.9921 nan 0.0100 0.0004
160 0.9726 nan 0.0100 0.0003
180 0.9571 nan 0.0100 0.0002
200 0.9433 nan 0.0100 0.0002
220 0.9314 nan 0.0100 0.0001
240 0.9202 nan 0.0100 0.0002
260 0.9102 nan 0.0100 -0.0000
280 0.9012 nan 0.0100 0.0002
300 0.8931 nan 0.0100 0.0001
320 0.8861 nan 0.0100 0.0001
340 0.8794 nan 0.0100 0.0001
360 0.8734 nan 0.0100 0.0001
380 0.8673 nan 0.0100 0.0001
400 0.8620 nan 0.0100 -0.0001
420 0.8571 nan 0.0100 -0.0000
440 0.8521 nan 0.0100 -0.0000
460 0.8476 nan 0.0100 0.0001
480 0.8430 nan 0.0100 0.0000
500 0.8390 nan 0.0100 0.0000
520 0.8354 nan 0.0100 -0.0000
540 0.8318 nan 0.0100 -0.0001
560 0.8283 nan 0.0100 0.0000
580 0.8250 nan 0.0100 0.0000
600 0.8218 nan 0.0100 -0.0000
620 0.8186 nan 0.0100 0.0000
640 0.8159 nan 0.0100 -0.0000
660 0.8130 nan 0.0100 -0.0000
680 0.8097 nan 0.0100 0.0000
700 0.8072 nan 0.0100 0.0000
720 0.8045 nan 0.0100 -0.0000
740 0.8020 nan 0.0100 -0.0000
760 0.7998 nan 0.0100 -0.0000
780 0.7976 nan 0.0100 -0.0000
800 0.7951 nan 0.0100 0.0000
820 0.7930 nan 0.0100 -0.0000
840 0.7907 nan 0.0100 -0.0000
860 0.7889 nan 0.0100 -0.0001
880 0.7867 nan 0.0100 -0.0001
900 0.7849 nan 0.0100 -0.0001
920 0.7828 nan 0.0100 -0.0000
940 0.7808 nan 0.0100 -0.0001
960 0.7792 nan 0.0100 -0.0000
980 0.7775 nan 0.0100 -0.0000
1000 0.7757 nan 0.0100 0.0000
1020 0.7741 nan 0.0100 -0.0000
1040 0.7726 nan 0.0100 -0.0001
1060 0.7710 nan 0.0100 -0.0001
1080 0.7694 nan 0.0100 -0.0000
1100 0.7679 nan 0.0100 -0.0001
- Fold05.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3242 nan 0.0100 0.0040
2 1.3166 nan 0.0100 0.0037
3 1.3091 nan 0.0100 0.0037
4 1.3019 nan 0.0100 0.0035
5 1.2945 nan 0.0100 0.0033
6 1.2876 nan 0.0100 0.0035
7 1.2805 nan 0.0100 0.0035
8 1.2738 nan 0.0100 0.0033
9 1.2672 nan 0.0100 0.0030
10 1.2607 nan 0.0100 0.0030
20 1.2016 nan 0.0100 0.0026
40 1.1132 nan 0.0100 0.0019
60 1.0480 nan 0.0100 0.0014
80 0.9979 nan 0.0100 0.0010
100 0.9606 nan 0.0100 0.0008
120 0.9309 nan 0.0100 0.0005
140 0.9068 nan 0.0100 0.0005
160 0.8874 nan 0.0100 0.0004
180 0.8706 nan 0.0100 0.0003
200 0.8566 nan 0.0100 0.0002
220 0.8454 nan 0.0100 -0.0001
240 0.8343 nan 0.0100 0.0001
260 0.8245 nan 0.0100 0.0000
280 0.8157 nan 0.0100 0.0001
300 0.8074 nan 0.0100 0.0001
320 0.7998 nan 0.0100 0.0000
340 0.7933 nan 0.0100 -0.0000
360 0.7865 nan 0.0100 -0.0000
380 0.7803 nan 0.0100 0.0000
400 0.7753 nan 0.0100 0.0000
420 0.7703 nan 0.0100 -0.0001
440 0.7656 nan 0.0100 -0.0001
460 0.7604 nan 0.0100 0.0000
480 0.7563 nan 0.0100 -0.0001
500 0.7521 nan 0.0100 -0.0001
520 0.7483 nan 0.0100 0.0000
540 0.7448 nan 0.0100 -0.0000
560 0.7412 nan 0.0100 -0.0001
580 0.7377 nan 0.0100 -0.0000
600 0.7351 nan 0.0100 -0.0001
620 0.7319 nan 0.0100 -0.0001
640 0.7285 nan 0.0100 -0.0001
660 0.7253 nan 0.0100 0.0000
680 0.7225 nan 0.0100 -0.0001
700 0.7200 nan 0.0100 0.0000
720 0.7175 nan 0.0100 -0.0001
740 0.7148 nan 0.0100 -0.0000
760 0.7121 nan 0.0100 -0.0001
780 0.7097 nan 0.0100 -0.0001
800 0.7068 nan 0.0100 0.0000
820 0.7043 nan 0.0100 -0.0001
840 0.7020 nan 0.0100 -0.0001
860 0.7002 nan 0.0100 -0.0000
880 0.6982 nan 0.0100 -0.0002
900 0.6962 nan 0.0100 -0.0000
920 0.6937 nan 0.0100 -0.0001
940 0.6913 nan 0.0100 -0.0000
960 0.6890 nan 0.0100 -0.0002
980 0.6872 nan 0.0100 -0.0001
1000 0.6853 nan 0.0100 -0.0000
1020 0.6833 nan 0.0100 -0.0001
1040 0.6813 nan 0.0100 -0.0002
1060 0.6796 nan 0.0100 -0.0001
1080 0.6778 nan 0.0100 -0.0002
1100 0.6760 nan 0.0100 -0.0001
- Fold05.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3245 nan 0.0100 0.0039
2 1.3167 nan 0.0100 0.0038
3 1.3085 nan 0.0100 0.0041
4 1.3006 nan 0.0100 0.0040
5 1.2932 nan 0.0100 0.0034
6 1.2858 nan 0.0100 0.0035
7 1.2786 nan 0.0100 0.0033
8 1.2714 nan 0.0100 0.0032
9 1.2640 nan 0.0100 0.0035
10 1.2570 nan 0.0100 0.0036
20 1.1941 nan 0.0100 0.0029
40 1.0946 nan 0.0100 0.0021
60 1.0222 nan 0.0100 0.0015
80 0.9679 nan 0.0100 0.0011
100 0.9262 nan 0.0100 0.0007
120 0.8944 nan 0.0100 0.0006
140 0.8684 nan 0.0100 0.0003
160 0.8480 nan 0.0100 0.0001
180 0.8310 nan 0.0100 0.0003
200 0.8166 nan 0.0100 0.0001
220 0.8039 nan 0.0100 0.0001
240 0.7922 nan 0.0100 0.0000
260 0.7828 nan 0.0100 -0.0000
280 0.7740 nan 0.0100 0.0000
300 0.7655 nan 0.0100 0.0001
320 0.7584 nan 0.0100 -0.0000
340 0.7518 nan 0.0100 -0.0000
360 0.7446 nan 0.0100 0.0000
380 0.7383 nan 0.0100 0.0000
400 0.7323 nan 0.0100 0.0001
420 0.7269 nan 0.0100 -0.0001
440 0.7222 nan 0.0100 -0.0000
460 0.7167 nan 0.0100 -0.0001
480 0.7118 nan 0.0100 -0.0001
500 0.7070 nan 0.0100 -0.0001
520 0.7026 nan 0.0100 0.0000
540 0.6986 nan 0.0100 -0.0001
560 0.6950 nan 0.0100 -0.0001
580 0.6914 nan 0.0100 -0.0002
600 0.6873 nan 0.0100 0.0000
620 0.6830 nan 0.0100 -0.0001
640 0.6794 nan 0.0100 -0.0001
660 0.6756 nan 0.0100 -0.0002
680 0.6725 nan 0.0100 -0.0000
700 0.6697 nan 0.0100 -0.0001
720 0.6662 nan 0.0100 -0.0001
740 0.6633 nan 0.0100 -0.0000
760 0.6603 nan 0.0100 -0.0001
780 0.6575 nan 0.0100 -0.0001
800 0.6547 nan 0.0100 -0.0001
820 0.6521 nan 0.0100 -0.0000
840 0.6493 nan 0.0100 -0.0003
860 0.6467 nan 0.0100 -0.0002
880 0.6440 nan 0.0100 0.0001
900 0.6415 nan 0.0100 -0.0000
920 0.6387 nan 0.0100 -0.0000
940 0.6355 nan 0.0100 -0.0000
960 0.6328 nan 0.0100 -0.0002
980 0.6306 nan 0.0100 -0.0001
1000 0.6284 nan 0.0100 -0.0001
1020 0.6259 nan 0.0100 -0.0001
1040 0.6234 nan 0.0100 -0.0001
1060 0.6208 nan 0.0100 -0.0002
1080 0.6187 nan 0.0100 -0.0001
1100 0.6163 nan 0.0100 -0.0000
- Fold05.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2688 nan 0.1000 0.0293
2 1.2216 nan 0.1000 0.0234
3 1.1859 nan 0.1000 0.0189
4 1.1507 nan 0.1000 0.0160
5 1.1210 nan 0.1000 0.0131
6 1.1015 nan 0.1000 0.0072
7 1.0833 nan 0.1000 0.0073
8 1.0622 nan 0.1000 0.0095
9 1.0421 nan 0.1000 0.0082
10 1.0265 nan 0.1000 0.0067
20 0.9379 nan 0.1000 0.0010
40 0.8616 nan 0.1000 0.0010
60 0.8261 nan 0.1000 -0.0011
80 0.8014 nan 0.1000 -0.0003
100 0.7806 nan 0.1000 -0.0003
120 0.7644 nan 0.1000 -0.0003
140 0.7535 nan 0.1000 -0.0012
160 0.7455 nan 0.1000 -0.0012
180 0.7381 nan 0.1000 -0.0000
200 0.7318 nan 0.1000 -0.0003
220 0.7262 nan 0.1000 -0.0000
240 0.7221 nan 0.1000 -0.0009
260 0.7167 nan 0.1000 -0.0000
280 0.7133 nan 0.1000 -0.0006
300 0.7092 nan 0.1000 -0.0006
320 0.7049 nan 0.1000 -0.0007
340 0.7023 nan 0.1000 -0.0007
360 0.6993 nan 0.1000 -0.0004
380 0.6947 nan 0.1000 -0.0008
400 0.6926 nan 0.1000 -0.0007
420 0.6895 nan 0.1000 -0.0014
440 0.6852 nan 0.1000 -0.0004
460 0.6828 nan 0.1000 -0.0007
480 0.6794 nan 0.1000 -0.0008
500 0.6782 nan 0.1000 -0.0011
520 0.6754 nan 0.1000 -0.0004
540 0.6734 nan 0.1000 -0.0003
560 0.6716 nan 0.1000 -0.0009
580 0.6705 nan 0.1000 -0.0016
600 0.6680 nan 0.1000 -0.0006
620 0.6660 nan 0.1000 -0.0006
640 0.6635 nan 0.1000 -0.0012
660 0.6616 nan 0.1000 -0.0008
680 0.6580 nan 0.1000 -0.0002
700 0.6558 nan 0.1000 -0.0006
720 0.6559 nan 0.1000 -0.0009
740 0.6530 nan 0.1000 -0.0009
760 0.6511 nan 0.1000 -0.0002
780 0.6490 nan 0.1000 -0.0011
800 0.6484 nan 0.1000 -0.0006
820 0.6476 nan 0.1000 -0.0006
840 0.6473 nan 0.1000 -0.0005
860 0.6461 nan 0.1000 -0.0007
880 0.6443 nan 0.1000 -0.0010
900 0.6432 nan 0.1000 -0.0007
920 0.6416 nan 0.1000 -0.0005
940 0.6402 nan 0.1000 -0.0010
960 0.6373 nan 0.1000 -0.0008
980 0.6367 nan 0.1000 -0.0009
1000 0.6365 nan 0.1000 -0.0006
1020 0.6338 nan 0.1000 -0.0008
1040 0.6316 nan 0.1000 -0.0004
1060 0.6310 nan 0.1000 -0.0007
1080 0.6301 nan 0.1000 -0.0001
1100 0.6292 nan 0.1000 -0.0010
- Fold05.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2592 nan 0.1000 0.0363
2 1.2003 nan 0.1000 0.0301
3 1.1497 nan 0.1000 0.0247
4 1.1088 nan 0.1000 0.0209
5 1.0732 nan 0.1000 0.0163
6 1.0435 nan 0.1000 0.0141
7 1.0171 nan 0.1000 0.0130
8 0.9948 nan 0.1000 0.0100
9 0.9737 nan 0.1000 0.0094
10 0.9561 nan 0.1000 0.0085
20 0.8535 nan 0.1000 0.0029
40 0.7757 nan 0.1000 -0.0001
60 0.7327 nan 0.1000 -0.0010
80 0.7069 nan 0.1000 -0.0006
100 0.6861 nan 0.1000 -0.0010
120 0.6706 nan 0.1000 -0.0005
140 0.6548 nan 0.1000 -0.0007
160 0.6382 nan 0.1000 -0.0011
180 0.6240 nan 0.1000 0.0005
200 0.6137 nan 0.1000 -0.0018
220 0.6054 nan 0.1000 -0.0006
240 0.5965 nan 0.1000 -0.0012
260 0.5899 nan 0.1000 -0.0010
280 0.5814 nan 0.1000 -0.0013
300 0.5704 nan 0.1000 -0.0011
320 0.5621 nan 0.1000 -0.0009
340 0.5572 nan 0.1000 -0.0013
360 0.5475 nan 0.1000 -0.0011
380 0.5431 nan 0.1000 -0.0017
400 0.5350 nan 0.1000 -0.0010
420 0.5283 nan 0.1000 -0.0009
440 0.5212 nan 0.1000 -0.0010
460 0.5161 nan 0.1000 -0.0004
480 0.5124 nan 0.1000 -0.0017
500 0.5057 nan 0.1000 -0.0006
520 0.5000 nan 0.1000 -0.0004
540 0.4961 nan 0.1000 -0.0011
560 0.4882 nan 0.1000 -0.0012
580 0.4816 nan 0.1000 -0.0008
600 0.4745 nan 0.1000 -0.0006
620 0.4701 nan 0.1000 -0.0014
640 0.4648 nan 0.1000 -0.0009
660 0.4580 nan 0.1000 -0.0005
680 0.4548 nan 0.1000 -0.0010
700 0.4502 nan 0.1000 -0.0006
720 0.4462 nan 0.1000 -0.0008
740 0.4423 nan 0.1000 -0.0013
760 0.4378 nan 0.1000 -0.0006
780 0.4341 nan 0.1000 -0.0015
800 0.4309 nan 0.1000 -0.0006
820 0.4266 nan 0.1000 -0.0010
840 0.4226 nan 0.1000 -0.0010
860 0.4192 nan 0.1000 -0.0008
880 0.4155 nan 0.1000 -0.0012
900 0.4114 nan 0.1000 -0.0016
920 0.4074 nan 0.1000 -0.0007
940 0.4040 nan 0.1000 -0.0009
960 0.4002 nan 0.1000 -0.0008
980 0.3967 nan 0.1000 -0.0007
1000 0.3943 nan 0.1000 -0.0008
1020 0.3899 nan 0.1000 -0.0005
1040 0.3865 nan 0.1000 -0.0009
1060 0.3833 nan 0.1000 -0.0008
1080 0.3797 nan 0.1000 -0.0004
1100 0.3768 nan 0.1000 -0.0013
- Fold05.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold05.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2526 nan 0.1000 0.0366
2 1.1844 nan 0.1000 0.0328
3 1.1323 nan 0.1000 0.0250
4 1.0845 nan 0.1000 0.0212
5 1.0468 nan 0.1000 0.0165
6 1.0158 nan 0.1000 0.0163
7 0.9872 nan 0.1000 0.0137
8 0.9602 nan 0.1000 0.0127
9 0.9376 nan 0.1000 0.0088
10 0.9198 nan 0.1000 0.0080
20 0.8200 nan 0.1000 0.0020
40 0.7339 nan 0.1000 -0.0005
60 0.6888 nan 0.1000 -0.0017
80 0.6619 nan 0.1000 -0.0008
100 0.6354 nan 0.1000 -0.0005
120 0.6157 nan 0.1000 -0.0018
140 0.5963 nan 0.1000 -0.0017
160 0.5803 nan 0.1000 -0.0012
180 0.5598 nan 0.1000 -0.0011
200 0.5480 nan 0.1000 -0.0013
220 0.5355 nan 0.1000 -0.0010
240 0.5224 nan 0.1000 -0.0014
260 0.5083 nan 0.1000 -0.0019
280 0.4956 nan 0.1000 -0.0015
300 0.4840 nan 0.1000 -0.0014
320 0.4717 nan 0.1000 -0.0005
340 0.4607 nan 0.1000 -0.0003
360 0.4526 nan 0.1000 -0.0006
380 0.4440 nan 0.1000 -0.0011
400 0.4380 nan 0.1000 -0.0012
420 0.4294 nan 0.1000 -0.0011
440 0.4210 nan 0.1000 -0.0006
460 0.4104 nan 0.1000 -0.0011
480 0.4037 nan 0.1000 -0.0009
500 0.3947 nan 0.1000 -0.0015
520 0.3862 nan 0.1000 -0.0014
540 0.3793 nan 0.1000 -0.0019
560 0.3747 nan 0.1000 -0.0014
580 0.3696 nan 0.1000 -0.0003
600 0.3619 nan 0.1000 -0.0011
620 0.3563 nan 0.1000 -0.0007
640 0.3500 nan 0.1000 -0.0007
660 0.3452 nan 0.1000 -0.0009
680 0.3402 nan 0.1000 -0.0005
700 0.3362 nan 0.1000 -0.0014
720 0.3303 nan 0.1000 -0.0009
740 0.3260 nan 0.1000 -0.0005
760 0.3221 nan 0.1000 -0.0012
780 0.3171 nan 0.1000 -0.0011
800 0.3112 nan 0.1000 -0.0008
820 0.3084 nan 0.1000 -0.0011
840 0.3032 nan 0.1000 -0.0005
860 0.2995 nan 0.1000 -0.0007
880 0.2959 nan 0.1000 -0.0007
900 0.2915 nan 0.1000 -0.0008
920 0.2883 nan 0.1000 -0.0009
940 0.2846 nan 0.1000 -0.0013
960 0.2816 nan 0.1000 -0.0012
980 0.2793 nan 0.1000 -0.0008
1000 0.2763 nan 0.1000 -0.0010
1020 0.2729 nan 0.1000 -0.0006
1040 0.2692 nan 0.1000 -0.0006
1060 0.2661 nan 0.1000 -0.0006
1080 0.2605 nan 0.1000 -0.0007
1100 0.2578 nan 0.1000 -0.0004
- Fold05.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3254 nan 0.0100 0.0031
2 1.3191 nan 0.0100 0.0029
3 1.3132 nan 0.0100 0.0029
4 1.3079 nan 0.0100 0.0030
5 1.3015 nan 0.0100 0.0029
6 1.2954 nan 0.0100 0.0028
7 1.2897 nan 0.0100 0.0028
8 1.2844 nan 0.0100 0.0027
9 1.2786 nan 0.0100 0.0026
10 1.2731 nan 0.0100 0.0026
20 1.2244 nan 0.0100 0.0021
40 1.1528 nan 0.0100 0.0015
60 1.1017 nan 0.0100 0.0011
80 1.0647 nan 0.0100 0.0007
100 1.0339 nan 0.0100 0.0006
120 1.0079 nan 0.0100 0.0005
140 0.9873 nan 0.0100 0.0004
160 0.9692 nan 0.0100 0.0003
180 0.9545 nan 0.0100 0.0002
200 0.9410 nan 0.0100 0.0002
220 0.9292 nan 0.0100 0.0002
240 0.9184 nan 0.0100 0.0002
260 0.9085 nan 0.0100 0.0002
280 0.8995 nan 0.0100 0.0001
300 0.8918 nan 0.0100 0.0001
320 0.8847 nan 0.0100 0.0001
340 0.8772 nan 0.0100 0.0001
360 0.8710 nan 0.0100 0.0001
380 0.8657 nan 0.0100 -0.0000
400 0.8603 nan 0.0100 -0.0000
420 0.8551 nan 0.0100 0.0000
440 0.8505 nan 0.0100 0.0000
460 0.8459 nan 0.0100 0.0001
480 0.8415 nan 0.0100 0.0001
500 0.8377 nan 0.0100 -0.0000
520 0.8341 nan 0.0100 -0.0000
540 0.8303 nan 0.0100 0.0000
560 0.8270 nan 0.0100 -0.0000
580 0.8237 nan 0.0100 0.0000
600 0.8207 nan 0.0100 0.0000
620 0.8177 nan 0.0100 0.0000
640 0.8150 nan 0.0100 0.0000
660 0.8127 nan 0.0100 0.0000
680 0.8106 nan 0.0100 0.0000
700 0.8080 nan 0.0100 0.0000
720 0.8057 nan 0.0100 -0.0001
740 0.8034 nan 0.0100 -0.0001
760 0.8012 nan 0.0100 -0.0001
780 0.7992 nan 0.0100 -0.0000
800 0.7971 nan 0.0100 -0.0000
820 0.7951 nan 0.0100 -0.0001
840 0.7933 nan 0.0100 -0.0000
860 0.7917 nan 0.0100 -0.0001
880 0.7899 nan 0.0100 -0.0000
900 0.7883 nan 0.0100 -0.0000
920 0.7864 nan 0.0100 -0.0000
940 0.7849 nan 0.0100 -0.0001
960 0.7835 nan 0.0100 -0.0001
980 0.7818 nan 0.0100 -0.0000
1000 0.7803 nan 0.0100 -0.0001
1020 0.7788 nan 0.0100 -0.0000
1040 0.7772 nan 0.0100 -0.0000
1060 0.7758 nan 0.0100 0.0000
1080 0.7745 nan 0.0100 -0.0000
1100 0.7731 nan 0.0100 -0.0000
- Fold06.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3228 nan 0.0100 0.0037
2 1.3150 nan 0.0100 0.0033
3 1.3073 nan 0.0100 0.0037
4 1.3006 nan 0.0100 0.0032
5 1.2931 nan 0.0100 0.0037
6 1.2858 nan 0.0100 0.0036
7 1.2785 nan 0.0100 0.0032
8 1.2717 nan 0.0100 0.0033
9 1.2650 nan 0.0100 0.0032
10 1.2585 nan 0.0100 0.0033
20 1.1997 nan 0.0100 0.0026
40 1.1073 nan 0.0100 0.0019
60 1.0404 nan 0.0100 0.0012
80 0.9899 nan 0.0100 0.0010
100 0.9530 nan 0.0100 0.0007
120 0.9229 nan 0.0100 0.0005
140 0.8999 nan 0.0100 0.0005
160 0.8803 nan 0.0100 0.0003
180 0.8644 nan 0.0100 0.0002
200 0.8496 nan 0.0100 0.0002
220 0.8386 nan 0.0100 0.0002
240 0.8284 nan 0.0100 0.0001
260 0.8198 nan 0.0100 0.0001
280 0.8120 nan 0.0100 0.0001
300 0.8049 nan 0.0100 -0.0000
320 0.7989 nan 0.0100 0.0000
340 0.7923 nan 0.0100 0.0000
360 0.7863 nan 0.0100 0.0000
380 0.7811 nan 0.0100 0.0000
400 0.7766 nan 0.0100 0.0001
420 0.7726 nan 0.0100 0.0000
440 0.7683 nan 0.0100 -0.0000
460 0.7646 nan 0.0100 -0.0000
480 0.7607 nan 0.0100 -0.0001
500 0.7570 nan 0.0100 0.0000
520 0.7539 nan 0.0100 -0.0001
540 0.7504 nan 0.0100 -0.0000
560 0.7471 nan 0.0100 -0.0000
580 0.7437 nan 0.0100 -0.0000
600 0.7410 nan 0.0100 -0.0001
620 0.7375 nan 0.0100 -0.0001
640 0.7348 nan 0.0100 -0.0001
660 0.7318 nan 0.0100 -0.0001
680 0.7291 nan 0.0100 -0.0001
700 0.7262 nan 0.0100 -0.0000
720 0.7237 nan 0.0100 -0.0001
740 0.7210 nan 0.0100 -0.0001
760 0.7186 nan 0.0100 -0.0001
780 0.7163 nan 0.0100 -0.0001
800 0.7140 nan 0.0100 -0.0002
820 0.7114 nan 0.0100 -0.0001
840 0.7090 nan 0.0100 -0.0001
860 0.7067 nan 0.0100 -0.0001
880 0.7046 nan 0.0100 -0.0001
900 0.7025 nan 0.0100 -0.0001
920 0.7006 nan 0.0100 -0.0001
940 0.6983 nan 0.0100 -0.0000
960 0.6961 nan 0.0100 0.0000
980 0.6942 nan 0.0100 -0.0001
1000 0.6926 nan 0.0100 -0.0001
1020 0.6909 nan 0.0100 -0.0001
1040 0.6890 nan 0.0100 -0.0002
1060 0.6875 nan 0.0100 -0.0000
1080 0.6855 nan 0.0100 -0.0002
1100 0.6835 nan 0.0100 -0.0001
- Fold06.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3225 nan 0.0100 0.0041
2 1.3146 nan 0.0100 0.0040
3 1.3060 nan 0.0100 0.0040
4 1.2982 nan 0.0100 0.0038
5 1.2901 nan 0.0100 0.0036
6 1.2820 nan 0.0100 0.0037
7 1.2744 nan 0.0100 0.0036
8 1.2670 nan 0.0100 0.0032
9 1.2599 nan 0.0100 0.0035
10 1.2523 nan 0.0100 0.0036
20 1.1872 nan 0.0100 0.0030
40 1.0886 nan 0.0100 0.0018
60 1.0161 nan 0.0100 0.0015
80 0.9613 nan 0.0100 0.0009
100 0.9206 nan 0.0100 0.0007
120 0.8895 nan 0.0100 0.0004
140 0.8653 nan 0.0100 0.0004
160 0.8455 nan 0.0100 0.0005
180 0.8289 nan 0.0100 0.0002
200 0.8152 nan 0.0100 0.0002
220 0.8022 nan 0.0100 0.0001
240 0.7918 nan 0.0100 0.0001
260 0.7824 nan 0.0100 0.0001
280 0.7743 nan 0.0100 0.0001
300 0.7664 nan 0.0100 0.0000
320 0.7595 nan 0.0100 -0.0000
340 0.7527 nan 0.0100 -0.0000
360 0.7467 nan 0.0100 -0.0001
380 0.7401 nan 0.0100 -0.0002
400 0.7344 nan 0.0100 -0.0000
420 0.7292 nan 0.0100 -0.0000
440 0.7244 nan 0.0100 -0.0000
460 0.7196 nan 0.0100 -0.0001
480 0.7154 nan 0.0100 -0.0001
500 0.7117 nan 0.0100 -0.0000
520 0.7074 nan 0.0100 -0.0001
540 0.7036 nan 0.0100 -0.0001
560 0.6995 nan 0.0100 -0.0000
580 0.6961 nan 0.0100 -0.0000
600 0.6924 nan 0.0100 -0.0001
620 0.6889 nan 0.0100 -0.0000
640 0.6852 nan 0.0100 -0.0001
660 0.6820 nan 0.0100 -0.0000
680 0.6778 nan 0.0100 -0.0001
700 0.6746 nan 0.0100 -0.0002
720 0.6717 nan 0.0100 -0.0001
740 0.6688 nan 0.0100 -0.0001
760 0.6661 nan 0.0100 -0.0001
780 0.6629 nan 0.0100 -0.0001
800 0.6599 nan 0.0100 -0.0000
820 0.6561 nan 0.0100 -0.0001
840 0.6535 nan 0.0100 -0.0001
860 0.6508 nan 0.0100 -0.0001
880 0.6474 nan 0.0100 -0.0001
900 0.6452 nan 0.0100 -0.0002
920 0.6425 nan 0.0100 -0.0001
940 0.6395 nan 0.0100 -0.0002
960 0.6373 nan 0.0100 -0.0002
980 0.6347 nan 0.0100 -0.0001
1000 0.6320 nan 0.0100 -0.0001
1020 0.6298 nan 0.0100 -0.0001
1040 0.6276 nan 0.0100 -0.0002
1060 0.6251 nan 0.0100 -0.0001
1080 0.6229 nan 0.0100 -0.0001
1100 0.6206 nan 0.0100 -0.0002
- Fold06.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2750 nan 0.1000 0.0310
2 1.2237 nan 0.1000 0.0235
3 1.1861 nan 0.1000 0.0202
4 1.1527 nan 0.1000 0.0168
5 1.1258 nan 0.1000 0.0138
6 1.1016 nan 0.1000 0.0121
7 1.0794 nan 0.1000 0.0096
8 1.0625 nan 0.1000 0.0076
9 1.0424 nan 0.1000 0.0068
10 1.0262 nan 0.1000 0.0056
20 0.9363 nan 0.1000 0.0019
40 0.8572 nan 0.1000 0.0011
60 0.8185 nan 0.1000 0.0003
80 0.7940 nan 0.1000 0.0001
100 0.7786 nan 0.1000 -0.0012
120 0.7652 nan 0.1000 -0.0004
140 0.7537 nan 0.1000 -0.0006
160 0.7452 nan 0.1000 -0.0004
180 0.7387 nan 0.1000 -0.0003
200 0.7329 nan 0.1000 -0.0005
220 0.7255 nan 0.1000 -0.0015
240 0.7230 nan 0.1000 -0.0013
260 0.7191 nan 0.1000 -0.0005
280 0.7145 nan 0.1000 -0.0008
300 0.7101 nan 0.1000 -0.0005
320 0.7060 nan 0.1000 -0.0005
340 0.7030 nan 0.1000 -0.0013
360 0.7000 nan 0.1000 -0.0004
380 0.6964 nan 0.1000 -0.0001
400 0.6936 nan 0.1000 -0.0011
420 0.6883 nan 0.1000 -0.0010
440 0.6860 nan 0.1000 -0.0003
460 0.6846 nan 0.1000 -0.0009
480 0.6821 nan 0.1000 -0.0009
500 0.6787 nan 0.1000 -0.0007
520 0.6758 nan 0.1000 -0.0007
540 0.6742 nan 0.1000 -0.0007
560 0.6728 nan 0.1000 -0.0013
580 0.6708 nan 0.1000 -0.0005
600 0.6704 nan 0.1000 -0.0020
620 0.6680 nan 0.1000 -0.0006
640 0.6658 nan 0.1000 -0.0007
660 0.6637 nan 0.1000 -0.0005
680 0.6612 nan 0.1000 -0.0006
700 0.6588 nan 0.1000 -0.0007
720 0.6570 nan 0.1000 -0.0005
740 0.6564 nan 0.1000 -0.0009
760 0.6547 nan 0.1000 -0.0014
780 0.6529 nan 0.1000 -0.0015
800 0.6506 nan 0.1000 -0.0007
820 0.6495 nan 0.1000 -0.0006
840 0.6476 nan 0.1000 -0.0008
860 0.6451 nan 0.1000 -0.0005
880 0.6435 nan 0.1000 -0.0008
900 0.6441 nan 0.1000 -0.0007
920 0.6421 nan 0.1000 -0.0003
940 0.6402 nan 0.1000 -0.0009
960 0.6388 nan 0.1000 -0.0006
980 0.6367 nan 0.1000 -0.0007
1000 0.6357 nan 0.1000 -0.0006
1020 0.6351 nan 0.1000 -0.0018
1040 0.6327 nan 0.1000 -0.0008
1060 0.6323 nan 0.1000 -0.0009
1080 0.6316 nan 0.1000 -0.0004
1100 0.6302 nan 0.1000 -0.0004
- Fold06.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2570 nan 0.1000 0.0354
2 1.1900 nan 0.1000 0.0320
3 1.1375 nan 0.1000 0.0258
4 1.0923 nan 0.1000 0.0209
5 1.0581 nan 0.1000 0.0162
6 1.0313 nan 0.1000 0.0142
7 1.0059 nan 0.1000 0.0124
8 0.9819 nan 0.1000 0.0106
9 0.9633 nan 0.1000 0.0096
10 0.9471 nan 0.1000 0.0082
20 0.8482 nan 0.1000 0.0027
40 0.7789 nan 0.1000 0.0010
60 0.7429 nan 0.1000 -0.0006
80 0.7194 nan 0.1000 -0.0005
100 0.6993 nan 0.1000 -0.0011
120 0.6805 nan 0.1000 -0.0010
140 0.6600 nan 0.1000 -0.0017
160 0.6474 nan 0.1000 -0.0014
180 0.6329 nan 0.1000 -0.0001
200 0.6236 nan 0.1000 -0.0014
220 0.6108 nan 0.1000 -0.0011
240 0.6007 nan 0.1000 -0.0012
260 0.5924 nan 0.1000 -0.0013
280 0.5841 nan 0.1000 -0.0014
300 0.5745 nan 0.1000 -0.0011
320 0.5672 nan 0.1000 -0.0007
340 0.5569 nan 0.1000 -0.0013
360 0.5517 nan 0.1000 -0.0005
380 0.5458 nan 0.1000 -0.0021
400 0.5396 nan 0.1000 -0.0005
420 0.5346 nan 0.1000 -0.0010
440 0.5286 nan 0.1000 -0.0009
460 0.5236 nan 0.1000 -0.0009
480 0.5184 nan 0.1000 -0.0012
500 0.5121 nan 0.1000 -0.0017
520 0.5026 nan 0.1000 -0.0010
540 0.4973 nan 0.1000 -0.0013
560 0.4939 nan 0.1000 -0.0010
580 0.4888 nan 0.1000 -0.0005
600 0.4818 nan 0.1000 -0.0013
620 0.4774 nan 0.1000 -0.0013
640 0.4747 nan 0.1000 -0.0013
660 0.4691 nan 0.1000 -0.0017
680 0.4645 nan 0.1000 -0.0007
700 0.4590 nan 0.1000 -0.0009
720 0.4544 nan 0.1000 -0.0009
740 0.4506 nan 0.1000 -0.0004
760 0.4492 nan 0.1000 -0.0008
780 0.4448 nan 0.1000 -0.0013
800 0.4409 nan 0.1000 -0.0013
820 0.4352 nan 0.1000 -0.0007
840 0.4306 nan 0.1000 -0.0013
860 0.4289 nan 0.1000 -0.0009
880 0.4254 nan 0.1000 -0.0009
900 0.4223 nan 0.1000 -0.0008
920 0.4197 nan 0.1000 -0.0012
940 0.4170 nan 0.1000 -0.0005
960 0.4133 nan 0.1000 -0.0012
980 0.4083 nan 0.1000 -0.0008
1000 0.4052 nan 0.1000 -0.0006
1020 0.4024 nan 0.1000 -0.0009
1040 0.4000 nan 0.1000 -0.0009
1060 0.3977 nan 0.1000 -0.0011
1080 0.3929 nan 0.1000 -0.0016
1100 0.3884 nan 0.1000 -0.0006
- Fold06.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold06.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2514 nan 0.1000 0.0431
2 1.1840 nan 0.1000 0.0313
3 1.1300 nan 0.1000 0.0278
4 1.0863 nan 0.1000 0.0210
5 1.0469 nan 0.1000 0.0168
6 1.0100 nan 0.1000 0.0140
7 0.9814 nan 0.1000 0.0135
8 0.9536 nan 0.1000 0.0115
9 0.9327 nan 0.1000 0.0088
10 0.9149 nan 0.1000 0.0085
20 0.8118 nan 0.1000 0.0013
40 0.7361 nan 0.1000 -0.0006
60 0.6947 nan 0.1000 -0.0008
80 0.6653 nan 0.1000 -0.0001
100 0.6368 nan 0.1000 -0.0002
120 0.6084 nan 0.1000 0.0000
140 0.5888 nan 0.1000 -0.0016
160 0.5712 nan 0.1000 -0.0009
180 0.5563 nan 0.1000 -0.0011
200 0.5393 nan 0.1000 -0.0004
220 0.5289 nan 0.1000 -0.0015
240 0.5145 nan 0.1000 -0.0010
260 0.5032 nan 0.1000 -0.0008
280 0.4892 nan 0.1000 -0.0015
300 0.4798 nan 0.1000 -0.0013
320 0.4698 nan 0.1000 -0.0015
340 0.4589 nan 0.1000 -0.0013
360 0.4480 nan 0.1000 -0.0021
380 0.4393 nan 0.1000 -0.0004
400 0.4316 nan 0.1000 -0.0009
420 0.4221 nan 0.1000 -0.0007
440 0.4162 nan 0.1000 -0.0010
460 0.4061 nan 0.1000 -0.0012
480 0.3996 nan 0.1000 -0.0015
500 0.3930 nan 0.1000 -0.0008
520 0.3844 nan 0.1000 -0.0006
540 0.3773 nan 0.1000 -0.0004
560 0.3732 nan 0.1000 -0.0015
580 0.3667 nan 0.1000 -0.0013
600 0.3601 nan 0.1000 -0.0006
620 0.3538 nan 0.1000 -0.0004
640 0.3489 nan 0.1000 -0.0015
660 0.3419 nan 0.1000 -0.0014
680 0.3370 nan 0.1000 -0.0011
700 0.3315 nan 0.1000 -0.0011
720 0.3259 nan 0.1000 -0.0007
740 0.3211 nan 0.1000 -0.0012
760 0.3174 nan 0.1000 -0.0007
780 0.3121 nan 0.1000 -0.0006
800 0.3075 nan 0.1000 -0.0010
820 0.3025 nan 0.1000 -0.0005
840 0.2988 nan 0.1000 -0.0015
860 0.2944 nan 0.1000 -0.0006
880 0.2913 nan 0.1000 -0.0014
900 0.2869 nan 0.1000 -0.0013
920 0.2824 nan 0.1000 -0.0002
940 0.2794 nan 0.1000 -0.0006
960 0.2755 nan 0.1000 -0.0008
980 0.2725 nan 0.1000 -0.0006
1000 0.2704 nan 0.1000 -0.0005
1020 0.2670 nan 0.1000 -0.0007
1040 0.2627 nan 0.1000 -0.0008
1060 0.2592 nan 0.1000 -0.0007
1080 0.2549 nan 0.1000 -0.0006
1100 0.2516 nan 0.1000 -0.0005
- Fold06.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3266 nan 0.0100 0.0028
2 1.3206 nan 0.0100 0.0030
3 1.3141 nan 0.0100 0.0030
4 1.3088 nan 0.0100 0.0028
5 1.3031 nan 0.0100 0.0028
6 1.2979 nan 0.0100 0.0027
7 1.2928 nan 0.0100 0.0027
8 1.2876 nan 0.0100 0.0026
9 1.2826 nan 0.0100 0.0024
10 1.2774 nan 0.0100 0.0025
20 1.2321 nan 0.0100 0.0020
40 1.1623 nan 0.0100 0.0015
60 1.1135 nan 0.0100 0.0010
80 1.0762 nan 0.0100 0.0008
100 1.0454 nan 0.0100 0.0006
120 1.0200 nan 0.0100 0.0005
140 0.9998 nan 0.0100 0.0004
160 0.9814 nan 0.0100 0.0004
180 0.9659 nan 0.0100 0.0003
200 0.9521 nan 0.0100 0.0003
220 0.9408 nan 0.0100 0.0001
240 0.9304 nan 0.0100 0.0001
260 0.9214 nan 0.0100 0.0002
280 0.9131 nan 0.0100 0.0000
300 0.9050 nan 0.0100 0.0001
320 0.8979 nan 0.0100 0.0001
340 0.8912 nan 0.0100 0.0000
360 0.8852 nan 0.0100 0.0001
380 0.8800 nan 0.0100 0.0001
400 0.8748 nan 0.0100 0.0000
420 0.8699 nan 0.0100 0.0000
440 0.8653 nan 0.0100 -0.0000
460 0.8606 nan 0.0100 -0.0000
480 0.8564 nan 0.0100 0.0000
500 0.8525 nan 0.0100 0.0000
520 0.8489 nan 0.0100 0.0000
540 0.8456 nan 0.0100 -0.0000
560 0.8422 nan 0.0100 -0.0000
580 0.8391 nan 0.0100 0.0000
600 0.8360 nan 0.0100 0.0000
620 0.8334 nan 0.0100 0.0000
640 0.8307 nan 0.0100 -0.0000
660 0.8280 nan 0.0100 0.0000
680 0.8255 nan 0.0100 -0.0000
700 0.8232 nan 0.0100 -0.0000
720 0.8206 nan 0.0100 -0.0000
740 0.8184 nan 0.0100 0.0000
760 0.8160 nan 0.0100 0.0000
780 0.8140 nan 0.0100 -0.0001
800 0.8121 nan 0.0100 -0.0000
820 0.8099 nan 0.0100 -0.0001
840 0.8080 nan 0.0100 -0.0001
860 0.8063 nan 0.0100 -0.0000
880 0.8045 nan 0.0100 -0.0000
900 0.8029 nan 0.0100 -0.0000
920 0.8013 nan 0.0100 0.0000
940 0.7995 nan 0.0100 -0.0000
960 0.7977 nan 0.0100 -0.0001
980 0.7964 nan 0.0100 -0.0000
1000 0.7950 nan 0.0100 -0.0001
1020 0.7935 nan 0.0100 -0.0000
1040 0.7919 nan 0.0100 0.0000
1060 0.7905 nan 0.0100 0.0000
1080 0.7891 nan 0.0100 -0.0000
1100 0.7877 nan 0.0100 -0.0000
- Fold07.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3244 nan 0.0100 0.0036
2 1.3163 nan 0.0100 0.0035
3 1.3091 nan 0.0100 0.0033
4 1.3021 nan 0.0100 0.0037
5 1.2951 nan 0.0100 0.0032
6 1.2889 nan 0.0100 0.0032
7 1.2818 nan 0.0100 0.0030
8 1.2754 nan 0.0100 0.0030
9 1.2690 nan 0.0100 0.0033
10 1.2635 nan 0.0100 0.0027
20 1.2077 nan 0.0100 0.0024
40 1.1201 nan 0.0100 0.0019
60 1.0562 nan 0.0100 0.0013
80 1.0091 nan 0.0100 0.0009
100 0.9724 nan 0.0100 0.0008
120 0.9415 nan 0.0100 0.0005
140 0.9179 nan 0.0100 0.0005
160 0.8996 nan 0.0100 0.0004
180 0.8837 nan 0.0100 0.0003
200 0.8704 nan 0.0100 0.0001
220 0.8587 nan 0.0100 0.0001
240 0.8481 nan 0.0100 0.0002
260 0.8393 nan 0.0100 -0.0000
280 0.8313 nan 0.0100 0.0000
300 0.8240 nan 0.0100 0.0001
320 0.8174 nan 0.0100 0.0000
340 0.8112 nan 0.0100 0.0000
360 0.8054 nan 0.0100 -0.0001
380 0.7996 nan 0.0100 -0.0000
400 0.7945 nan 0.0100 -0.0000
420 0.7901 nan 0.0100 -0.0000
440 0.7860 nan 0.0100 -0.0001
460 0.7817 nan 0.0100 0.0000
480 0.7781 nan 0.0100 -0.0001
500 0.7744 nan 0.0100 -0.0000
520 0.7703 nan 0.0100 0.0000
540 0.7669 nan 0.0100 -0.0001
560 0.7635 nan 0.0100 -0.0000
580 0.7606 nan 0.0100 0.0000
600 0.7575 nan 0.0100 -0.0001
620 0.7547 nan 0.0100 -0.0001
640 0.7519 nan 0.0100 0.0000
660 0.7487 nan 0.0100 -0.0000
680 0.7461 nan 0.0100 -0.0000
700 0.7436 nan 0.0100 -0.0001
720 0.7411 nan 0.0100 -0.0001
740 0.7386 nan 0.0100 -0.0000
760 0.7363 nan 0.0100 -0.0001
780 0.7336 nan 0.0100 -0.0001
800 0.7314 nan 0.0100 -0.0000
820 0.7289 nan 0.0100 -0.0000
840 0.7267 nan 0.0100 -0.0001
860 0.7247 nan 0.0100 -0.0001
880 0.7227 nan 0.0100 -0.0001
900 0.7208 nan 0.0100 -0.0000
920 0.7188 nan 0.0100 -0.0001
940 0.7171 nan 0.0100 -0.0001
960 0.7151 nan 0.0100 -0.0001
980 0.7133 nan 0.0100 -0.0001
1000 0.7110 nan 0.0100 -0.0001
1020 0.7091 nan 0.0100 -0.0001
1040 0.7071 nan 0.0100 -0.0002
1060 0.7055 nan 0.0100 -0.0001
1080 0.7034 nan 0.0100 -0.0002
1100 0.7015 nan 0.0100 -0.0000
- Fold07.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3238 nan 0.0100 0.0041
2 1.3157 nan 0.0100 0.0041
3 1.3085 nan 0.0100 0.0037
4 1.3005 nan 0.0100 0.0038
5 1.2926 nan 0.0100 0.0040
6 1.2848 nan 0.0100 0.0034
7 1.2774 nan 0.0100 0.0035
8 1.2706 nan 0.0100 0.0035
9 1.2636 nan 0.0100 0.0032
10 1.2569 nan 0.0100 0.0035
20 1.1948 nan 0.0100 0.0026
40 1.0981 nan 0.0100 0.0019
60 1.0279 nan 0.0100 0.0013
80 0.9748 nan 0.0100 0.0010
100 0.9357 nan 0.0100 0.0006
120 0.9053 nan 0.0100 0.0005
140 0.8814 nan 0.0100 0.0006
160 0.8620 nan 0.0100 0.0001
180 0.8455 nan 0.0100 0.0004
200 0.8320 nan 0.0100 0.0001
220 0.8206 nan 0.0100 0.0000
240 0.8103 nan 0.0100 -0.0002
260 0.8006 nan 0.0100 0.0002
280 0.7916 nan 0.0100 0.0002
300 0.7839 nan 0.0100 -0.0001
320 0.7765 nan 0.0100 0.0001
340 0.7704 nan 0.0100 0.0001
360 0.7643 nan 0.0100 -0.0001
380 0.7582 nan 0.0100 -0.0001
400 0.7524 nan 0.0100 -0.0001
420 0.7475 nan 0.0100 0.0000
440 0.7430 nan 0.0100 -0.0001
460 0.7387 nan 0.0100 -0.0000
480 0.7345 nan 0.0100 -0.0001
500 0.7295 nan 0.0100 -0.0000
520 0.7258 nan 0.0100 -0.0001
540 0.7218 nan 0.0100 -0.0000
560 0.7183 nan 0.0100 -0.0000
580 0.7148 nan 0.0100 -0.0002
600 0.7107 nan 0.0100 -0.0001
620 0.7070 nan 0.0100 0.0000
640 0.7032 nan 0.0100 -0.0000
660 0.7000 nan 0.0100 -0.0002
680 0.6963 nan 0.0100 -0.0001
700 0.6933 nan 0.0100 -0.0002
720 0.6902 nan 0.0100 -0.0000
740 0.6869 nan 0.0100 -0.0001
760 0.6837 nan 0.0100 -0.0001
780 0.6807 nan 0.0100 -0.0001
800 0.6782 nan 0.0100 -0.0001
820 0.6749 nan 0.0100 -0.0000
840 0.6722 nan 0.0100 -0.0001
860 0.6692 nan 0.0100 0.0000
880 0.6671 nan 0.0100 -0.0001
900 0.6640 nan 0.0100 -0.0001
920 0.6617 nan 0.0100 -0.0002
940 0.6589 nan 0.0100 -0.0001
960 0.6565 nan 0.0100 -0.0002
980 0.6544 nan 0.0100 -0.0001
1000 0.6520 nan 0.0100 -0.0001
1020 0.6495 nan 0.0100 -0.0001
1040 0.6472 nan 0.0100 -0.0001
1060 0.6448 nan 0.0100 -0.0001
1080 0.6424 nan 0.0100 -0.0001
1100 0.6402 nan 0.0100 -0.0001
- Fold07.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2743 nan 0.1000 0.0287
2 1.2287 nan 0.1000 0.0237
3 1.1936 nan 0.1000 0.0189
4 1.1590 nan 0.1000 0.0143
5 1.1354 nan 0.1000 0.0124
6 1.1158 nan 0.1000 0.0084
7 1.0914 nan 0.1000 0.0108
8 1.0697 nan 0.1000 0.0083
9 1.0540 nan 0.1000 0.0075
10 1.0395 nan 0.1000 0.0066
20 0.9480 nan 0.1000 0.0021
40 0.8718 nan 0.1000 0.0008
60 0.8345 nan 0.1000 0.0001
80 0.8141 nan 0.1000 -0.0008
100 0.7979 nan 0.1000 0.0001
120 0.7843 nan 0.1000 -0.0005
140 0.7738 nan 0.1000 -0.0004
160 0.7636 nan 0.1000 -0.0018
180 0.7558 nan 0.1000 -0.0012
200 0.7517 nan 0.1000 -0.0009
220 0.7446 nan 0.1000 -0.0005
240 0.7387 nan 0.1000 -0.0003
260 0.7335 nan 0.1000 -0.0007
280 0.7291 nan 0.1000 -0.0010
300 0.7235 nan 0.1000 -0.0010
320 0.7202 nan 0.1000 -0.0023
340 0.7168 nan 0.1000 -0.0007
360 0.7129 nan 0.1000 -0.0004
380 0.7086 nan 0.1000 -0.0008
400 0.7057 nan 0.1000 -0.0006
420 0.7042 nan 0.1000 -0.0010
440 0.7006 nan 0.1000 -0.0006
460 0.6974 nan 0.1000 -0.0010
480 0.6940 nan 0.1000 -0.0020
500 0.6913 nan 0.1000 -0.0006
520 0.6885 nan 0.1000 -0.0010
540 0.6857 nan 0.1000 -0.0004
560 0.6831 nan 0.1000 -0.0008
580 0.6810 nan 0.1000 -0.0011
600 0.6781 nan 0.1000 -0.0005
620 0.6767 nan 0.1000 -0.0016
640 0.6749 nan 0.1000 -0.0006
660 0.6736 nan 0.1000 -0.0013
680 0.6707 nan 0.1000 -0.0009
700 0.6696 nan 0.1000 -0.0009
720 0.6687 nan 0.1000 -0.0017
740 0.6656 nan 0.1000 -0.0005
760 0.6633 nan 0.1000 -0.0007
780 0.6618 nan 0.1000 -0.0003
800 0.6615 nan 0.1000 -0.0007
820 0.6599 nan 0.1000 -0.0007
840 0.6584 nan 0.1000 -0.0008
860 0.6572 nan 0.1000 -0.0003
880 0.6557 nan 0.1000 -0.0007
900 0.6544 nan 0.1000 -0.0010
920 0.6526 nan 0.1000 -0.0002
940 0.6509 nan 0.1000 -0.0003
960 0.6499 nan 0.1000 -0.0005
980 0.6475 nan 0.1000 -0.0006
1000 0.6459 nan 0.1000 -0.0004
1020 0.6446 nan 0.1000 -0.0007
1040 0.6433 nan 0.1000 -0.0003
1060 0.6415 nan 0.1000 -0.0009
1080 0.6398 nan 0.1000 -0.0009
1100 0.6384 nan 0.1000 -0.0007
- Fold07.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2661 nan 0.1000 0.0357
2 1.2073 nan 0.1000 0.0293
3 1.1583 nan 0.1000 0.0228
4 1.1172 nan 0.1000 0.0218
5 1.0794 nan 0.1000 0.0166
6 1.0472 nan 0.1000 0.0125
7 1.0248 nan 0.1000 0.0101
8 1.0029 nan 0.1000 0.0099
9 0.9831 nan 0.1000 0.0081
10 0.9672 nan 0.1000 0.0064
20 0.8682 nan 0.1000 0.0004
40 0.7941 nan 0.1000 0.0013
60 0.7568 nan 0.1000 -0.0011
80 0.7330 nan 0.1000 -0.0013
100 0.7163 nan 0.1000 -0.0010
120 0.6985 nan 0.1000 -0.0012
140 0.6836 nan 0.1000 -0.0001
160 0.6680 nan 0.1000 -0.0003
180 0.6533 nan 0.1000 -0.0004
200 0.6436 nan 0.1000 -0.0012
220 0.6309 nan 0.1000 -0.0009
240 0.6199 nan 0.1000 -0.0005
260 0.6121 nan 0.1000 -0.0008
280 0.6030 nan 0.1000 -0.0010
300 0.5924 nan 0.1000 -0.0006
320 0.5812 nan 0.1000 -0.0003
340 0.5698 nan 0.1000 -0.0017
360 0.5613 nan 0.1000 -0.0011
380 0.5553 nan 0.1000 -0.0022
400 0.5486 nan 0.1000 -0.0008
420 0.5405 nan 0.1000 -0.0005
440 0.5343 nan 0.1000 -0.0006
460 0.5294 nan 0.1000 -0.0005
480 0.5248 nan 0.1000 -0.0021
500 0.5179 nan 0.1000 -0.0009
520 0.5095 nan 0.1000 -0.0014
540 0.5042 nan 0.1000 -0.0007
560 0.4978 nan 0.1000 -0.0008
580 0.4911 nan 0.1000 -0.0005
600 0.4867 nan 0.1000 -0.0011
620 0.4814 nan 0.1000 -0.0004
640 0.4775 nan 0.1000 -0.0006
660 0.4726 nan 0.1000 -0.0015
680 0.4683 nan 0.1000 -0.0011
700 0.4641 nan 0.1000 -0.0008
720 0.4609 nan 0.1000 -0.0015
740 0.4565 nan 0.1000 -0.0007
760 0.4508 nan 0.1000 -0.0008
780 0.4471 nan 0.1000 -0.0018
800 0.4419 nan 0.1000 -0.0003
820 0.4387 nan 0.1000 -0.0011
840 0.4355 nan 0.1000 -0.0007
860 0.4314 nan 0.1000 -0.0011
880 0.4274 nan 0.1000 -0.0008
900 0.4266 nan 0.1000 -0.0011
920 0.4222 nan 0.1000 -0.0008
940 0.4192 nan 0.1000 -0.0008
960 0.4162 nan 0.1000 -0.0006
980 0.4122 nan 0.1000 -0.0007
1000 0.4080 nan 0.1000 -0.0010
1020 0.4024 nan 0.1000 -0.0010
1040 0.3995 nan 0.1000 -0.0019
1060 0.3975 nan 0.1000 -0.0004
1080 0.3934 nan 0.1000 -0.0006
1100 0.3914 nan 0.1000 -0.0011
- Fold07.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold07.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2552 nan 0.1000 0.0407
2 1.1879 nan 0.1000 0.0323
3 1.1323 nan 0.1000 0.0262
4 1.0867 nan 0.1000 0.0217
5 1.0479 nan 0.1000 0.0165
6 1.0204 nan 0.1000 0.0127
7 0.9959 nan 0.1000 0.0124
8 0.9721 nan 0.1000 0.0099
9 0.9517 nan 0.1000 0.0075
10 0.9347 nan 0.1000 0.0057
20 0.8319 nan 0.1000 0.0018
40 0.7558 nan 0.1000 -0.0006
60 0.7153 nan 0.1000 -0.0004
80 0.6820 nan 0.1000 -0.0019
100 0.6539 nan 0.1000 -0.0007
120 0.6346 nan 0.1000 -0.0013
140 0.6123 nan 0.1000 -0.0012
160 0.5945 nan 0.1000 -0.0008
180 0.5784 nan 0.1000 -0.0004
200 0.5616 nan 0.1000 -0.0011
220 0.5456 nan 0.1000 -0.0014
240 0.5303 nan 0.1000 -0.0010
260 0.5237 nan 0.1000 -0.0011
280 0.5129 nan 0.1000 -0.0004
300 0.4993 nan 0.1000 -0.0014
320 0.4911 nan 0.1000 -0.0011
340 0.4815 nan 0.1000 -0.0016
360 0.4716 nan 0.1000 -0.0007
380 0.4597 nan 0.1000 -0.0016
400 0.4516 nan 0.1000 -0.0018
420 0.4416 nan 0.1000 -0.0009
440 0.4336 nan 0.1000 -0.0016
460 0.4229 nan 0.1000 -0.0012
480 0.4167 nan 0.1000 -0.0013
500 0.4105 nan 0.1000 -0.0007
520 0.4028 nan 0.1000 -0.0008
540 0.3969 nan 0.1000 -0.0010
560 0.3897 nan 0.1000 -0.0008
580 0.3825 nan 0.1000 -0.0008
600 0.3757 nan 0.1000 -0.0012
620 0.3671 nan 0.1000 -0.0011
640 0.3623 nan 0.1000 -0.0011
660 0.3543 nan 0.1000 -0.0010
680 0.3483 nan 0.1000 -0.0002
700 0.3424 nan 0.1000 -0.0009
720 0.3371 nan 0.1000 -0.0010
740 0.3318 nan 0.1000 -0.0010
760 0.3279 nan 0.1000 -0.0013
780 0.3248 nan 0.1000 -0.0009
800 0.3211 nan 0.1000 -0.0012
820 0.3180 nan 0.1000 -0.0009
840 0.3140 nan 0.1000 -0.0009
860 0.3087 nan 0.1000 -0.0012
880 0.3041 nan 0.1000 -0.0009
900 0.2995 nan 0.1000 -0.0007
920 0.2953 nan 0.1000 -0.0007
940 0.2915 nan 0.1000 -0.0004
960 0.2872 nan 0.1000 -0.0007
980 0.2836 nan 0.1000 -0.0008
1000 0.2802 nan 0.1000 -0.0010
1020 0.2772 nan 0.1000 -0.0010
1040 0.2750 nan 0.1000 -0.0012
1060 0.2719 nan 0.1000 -0.0011
1080 0.2680 nan 0.1000 -0.0006
1100 0.2659 nan 0.1000 -0.0005
- Fold07.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3263 nan 0.0100 0.0029
2 1.3204 nan 0.0100 0.0028
3 1.3148 nan 0.0100 0.0027
4 1.3091 nan 0.0100 0.0027
5 1.3038 nan 0.0100 0.0026
6 1.2984 nan 0.0100 0.0025
7 1.2932 nan 0.0100 0.0025
8 1.2880 nan 0.0100 0.0025
9 1.2828 nan 0.0100 0.0024
10 1.2781 nan 0.0100 0.0024
20 1.2334 nan 0.0100 0.0019
40 1.1663 nan 0.0100 0.0013
60 1.1192 nan 0.0100 0.0008
80 1.0834 nan 0.0100 0.0008
100 1.0542 nan 0.0100 0.0006
120 1.0299 nan 0.0100 0.0005
140 1.0096 nan 0.0100 0.0004
160 0.9937 nan 0.0100 0.0003
180 0.9790 nan 0.0100 0.0003
200 0.9653 nan 0.0100 0.0002
220 0.9540 nan 0.0100 0.0000
240 0.9430 nan 0.0100 0.0001
260 0.9337 nan 0.0100 0.0001
280 0.9255 nan 0.0100 0.0001
300 0.9173 nan 0.0100 0.0000
320 0.9106 nan 0.0100 0.0001
340 0.9046 nan 0.0100 0.0000
360 0.8986 nan 0.0100 0.0001
380 0.8925 nan 0.0100 0.0001
400 0.8872 nan 0.0100 0.0000
420 0.8821 nan 0.0100 0.0000
440 0.8775 nan 0.0100 0.0000
460 0.8732 nan 0.0100 0.0001
480 0.8693 nan 0.0100 -0.0000
500 0.8652 nan 0.0100 -0.0000
520 0.8616 nan 0.0100 0.0000
540 0.8580 nan 0.0100 0.0000
560 0.8546 nan 0.0100 0.0000
580 0.8512 nan 0.0100 -0.0000
600 0.8480 nan 0.0100 0.0000
620 0.8451 nan 0.0100 0.0000
640 0.8422 nan 0.0100 -0.0000
660 0.8393 nan 0.0100 0.0000
680 0.8367 nan 0.0100 -0.0001
700 0.8342 nan 0.0100 -0.0000
720 0.8320 nan 0.0100 -0.0000
740 0.8296 nan 0.0100 -0.0000
760 0.8272 nan 0.0100 -0.0001
780 0.8251 nan 0.0100 -0.0000
800 0.8229 nan 0.0100 -0.0000
820 0.8211 nan 0.0100 -0.0001
840 0.8190 nan 0.0100 -0.0001
860 0.8170 nan 0.0100 -0.0000
880 0.8152 nan 0.0100 -0.0000
900 0.8137 nan 0.0100 -0.0001
920 0.8119 nan 0.0100 -0.0000
940 0.8103 nan 0.0100 -0.0001
960 0.8086 nan 0.0100 -0.0000
980 0.8067 nan 0.0100 -0.0000
1000 0.8051 nan 0.0100 -0.0000
1020 0.8037 nan 0.0100 -0.0000
1040 0.8025 nan 0.0100 -0.0001
1060 0.8011 nan 0.0100 -0.0001
1080 0.7997 nan 0.0100 -0.0000
1100 0.7985 nan 0.0100 -0.0000
- Fold08.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3251 nan 0.0100 0.0036
2 1.3183 nan 0.0100 0.0035
3 1.3124 nan 0.0100 0.0029
4 1.3056 nan 0.0100 0.0032
5 1.2985 nan 0.0100 0.0033
6 1.2922 nan 0.0100 0.0034
7 1.2860 nan 0.0100 0.0032
8 1.2800 nan 0.0100 0.0029
9 1.2736 nan 0.0100 0.0030
10 1.2674 nan 0.0100 0.0030
20 1.2114 nan 0.0100 0.0025
40 1.1265 nan 0.0100 0.0019
60 1.0640 nan 0.0100 0.0012
80 1.0163 nan 0.0100 0.0008
100 0.9798 nan 0.0100 0.0005
120 0.9516 nan 0.0100 0.0002
140 0.9293 nan 0.0100 0.0003
160 0.9110 nan 0.0100 0.0003
180 0.8951 nan 0.0100 0.0003
200 0.8822 nan 0.0100 0.0002
220 0.8704 nan 0.0100 -0.0000
240 0.8604 nan 0.0100 0.0001
260 0.8506 nan 0.0100 0.0002
280 0.8425 nan 0.0100 0.0001
300 0.8350 nan 0.0100 0.0000
320 0.8283 nan 0.0100 0.0000
340 0.8219 nan 0.0100 -0.0000
360 0.8164 nan 0.0100 -0.0000
380 0.8109 nan 0.0100 -0.0000
400 0.8056 nan 0.0100 0.0000
420 0.8011 nan 0.0100 0.0000
440 0.7966 nan 0.0100 -0.0000
460 0.7919 nan 0.0100 -0.0001
480 0.7880 nan 0.0100 -0.0001
500 0.7841 nan 0.0100 -0.0001
520 0.7803 nan 0.0100 -0.0000
540 0.7769 nan 0.0100 -0.0000
560 0.7731 nan 0.0100 -0.0000
580 0.7695 nan 0.0100 -0.0000
600 0.7661 nan 0.0100 -0.0001
620 0.7632 nan 0.0100 -0.0001
640 0.7603 nan 0.0100 -0.0001
660 0.7578 nan 0.0100 -0.0000
680 0.7553 nan 0.0100 -0.0001
700 0.7529 nan 0.0100 -0.0001
720 0.7503 nan 0.0100 -0.0001
740 0.7476 nan 0.0100 -0.0002
760 0.7448 nan 0.0100 -0.0001
780 0.7422 nan 0.0100 -0.0001
800 0.7397 nan 0.0100 -0.0001
820 0.7375 nan 0.0100 -0.0000
840 0.7350 nan 0.0100 -0.0001
860 0.7323 nan 0.0100 -0.0001
880 0.7299 nan 0.0100 -0.0000
900 0.7280 nan 0.0100 -0.0001
920 0.7261 nan 0.0100 0.0001
940 0.7240 nan 0.0100 -0.0001
960 0.7224 nan 0.0100 -0.0001
980 0.7208 nan 0.0100 -0.0001
1000 0.7190 nan 0.0100 -0.0001
1020 0.7174 nan 0.0100 -0.0001
1040 0.7155 nan 0.0100 -0.0001
1060 0.7138 nan 0.0100 -0.0001
1080 0.7119 nan 0.0100 -0.0001
1100 0.7096 nan 0.0100 -0.0000
- Fold08.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3240 nan 0.0100 0.0036
2 1.3166 nan 0.0100 0.0037
3 1.3088 nan 0.0100 0.0038
4 1.3015 nan 0.0100 0.0035
5 1.2943 nan 0.0100 0.0036
6 1.2874 nan 0.0100 0.0036
7 1.2807 nan 0.0100 0.0030
8 1.2737 nan 0.0100 0.0034
9 1.2668 nan 0.0100 0.0031
10 1.2594 nan 0.0100 0.0033
20 1.1991 nan 0.0100 0.0028
40 1.1039 nan 0.0100 0.0020
60 1.0336 nan 0.0100 0.0013
80 0.9821 nan 0.0100 0.0007
100 0.9452 nan 0.0100 0.0007
120 0.9162 nan 0.0100 0.0005
140 0.8934 nan 0.0100 0.0002
160 0.8736 nan 0.0100 0.0003
180 0.8580 nan 0.0100 0.0004
200 0.8448 nan 0.0100 -0.0000
220 0.8325 nan 0.0100 0.0001
240 0.8218 nan 0.0100 0.0001
260 0.8114 nan 0.0100 0.0002
280 0.8020 nan 0.0100 0.0001
300 0.7939 nan 0.0100 0.0000
320 0.7857 nan 0.0100 -0.0001
340 0.7785 nan 0.0100 0.0001
360 0.7721 nan 0.0100 0.0000
380 0.7664 nan 0.0100 -0.0000
400 0.7608 nan 0.0100 -0.0000
420 0.7558 nan 0.0100 -0.0001
440 0.7510 nan 0.0100 0.0000
460 0.7462 nan 0.0100 -0.0001
480 0.7416 nan 0.0100 -0.0001
500 0.7371 nan 0.0100 -0.0001
520 0.7330 nan 0.0100 -0.0000
540 0.7289 nan 0.0100 -0.0001
560 0.7245 nan 0.0100 -0.0001
580 0.7204 nan 0.0100 0.0000
600 0.7171 nan 0.0100 -0.0000
620 0.7130 nan 0.0100 -0.0000
640 0.7094 nan 0.0100 -0.0001
660 0.7060 nan 0.0100 -0.0001
680 0.7020 nan 0.0100 -0.0000
700 0.6986 nan 0.0100 -0.0001
720 0.6959 nan 0.0100 -0.0001
740 0.6930 nan 0.0100 -0.0001
760 0.6903 nan 0.0100 -0.0002
780 0.6873 nan 0.0100 -0.0000
800 0.6844 nan 0.0100 -0.0001
820 0.6817 nan 0.0100 -0.0001
840 0.6788 nan 0.0100 -0.0001
860 0.6764 nan 0.0100 -0.0000
880 0.6739 nan 0.0100 -0.0000
900 0.6717 nan 0.0100 -0.0002
920 0.6694 nan 0.0100 -0.0001
940 0.6668 nan 0.0100 -0.0001
960 0.6640 nan 0.0100 -0.0001
980 0.6618 nan 0.0100 -0.0001
1000 0.6596 nan 0.0100 -0.0003
1020 0.6571 nan 0.0100 -0.0001
1040 0.6549 nan 0.0100 -0.0002
1060 0.6518 nan 0.0100 -0.0001
1080 0.6494 nan 0.0100 -0.0001
1100 0.6470 nan 0.0100 -0.0001
- Fold08.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2758 nan 0.1000 0.0281
2 1.2298 nan 0.1000 0.0211
3 1.1889 nan 0.1000 0.0182
4 1.1573 nan 0.1000 0.0149
5 1.1323 nan 0.1000 0.0123
6 1.1143 nan 0.1000 0.0072
7 1.0934 nan 0.1000 0.0095
8 1.0769 nan 0.1000 0.0075
9 1.0636 nan 0.1000 0.0070
10 1.0485 nan 0.1000 0.0074
20 0.9632 nan 0.1000 0.0021
40 0.8837 nan 0.1000 0.0007
60 0.8493 nan 0.1000 -0.0002
80 0.8221 nan 0.1000 -0.0010
100 0.8038 nan 0.1000 -0.0005
120 0.7913 nan 0.1000 0.0000
140 0.7805 nan 0.1000 -0.0003
160 0.7721 nan 0.1000 -0.0006
180 0.7652 nan 0.1000 -0.0001
200 0.7595 nan 0.1000 -0.0005
220 0.7528 nan 0.1000 -0.0006
240 0.7466 nan 0.1000 -0.0011
260 0.7413 nan 0.1000 -0.0002
280 0.7362 nan 0.1000 0.0000
300 0.7312 nan 0.1000 -0.0008
320 0.7288 nan 0.1000 -0.0011
340 0.7251 nan 0.1000 -0.0007
360 0.7221 nan 0.1000 -0.0006
380 0.7191 nan 0.1000 -0.0002
400 0.7161 nan 0.1000 -0.0003
420 0.7118 nan 0.1000 -0.0003
440 0.7089 nan 0.1000 -0.0009
460 0.7068 nan 0.1000 -0.0015
480 0.7039 nan 0.1000 -0.0011
500 0.6999 nan 0.1000 -0.0006
520 0.6977 nan 0.1000 -0.0004
540 0.6950 nan 0.1000 -0.0011
560 0.6929 nan 0.1000 -0.0005
580 0.6906 nan 0.1000 -0.0008
600 0.6892 nan 0.1000 -0.0002
620 0.6869 nan 0.1000 -0.0006
640 0.6844 nan 0.1000 -0.0004
660 0.6819 nan 0.1000 -0.0006
680 0.6814 nan 0.1000 -0.0007
700 0.6804 nan 0.1000 -0.0012
720 0.6790 nan 0.1000 -0.0014
740 0.6779 nan 0.1000 -0.0009
760 0.6771 nan 0.1000 -0.0009
780 0.6747 nan 0.1000 -0.0009
800 0.6721 nan 0.1000 -0.0009
820 0.6708 nan 0.1000 -0.0008
840 0.6692 nan 0.1000 -0.0009
860 0.6683 nan 0.1000 -0.0007
880 0.6668 nan 0.1000 -0.0005
900 0.6658 nan 0.1000 -0.0013
920 0.6633 nan 0.1000 -0.0006
940 0.6613 nan 0.1000 -0.0009
960 0.6597 nan 0.1000 -0.0007
980 0.6586 nan 0.1000 -0.0007
1000 0.6565 nan 0.1000 -0.0011
1020 0.6553 nan 0.1000 -0.0009
1040 0.6543 nan 0.1000 -0.0011
1060 0.6532 nan 0.1000 -0.0010
1080 0.6518 nan 0.1000 -0.0005
1100 0.6500 nan 0.1000 -0.0008
- Fold08.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2651 nan 0.1000 0.0297
2 1.2046 nan 0.1000 0.0281
3 1.1562 nan 0.1000 0.0239
4 1.1209 nan 0.1000 0.0186
5 1.0814 nan 0.1000 0.0185
6 1.0544 nan 0.1000 0.0112
7 1.0271 nan 0.1000 0.0121
8 1.0046 nan 0.1000 0.0102
9 0.9877 nan 0.1000 0.0084
10 0.9723 nan 0.1000 0.0070
20 0.8782 nan 0.1000 0.0024
40 0.8019 nan 0.1000 0.0000
60 0.7649 nan 0.1000 -0.0005
80 0.7350 nan 0.1000 -0.0011
100 0.7160 nan 0.1000 -0.0007
120 0.6986 nan 0.1000 -0.0008
140 0.6831 nan 0.1000 -0.0009
160 0.6689 nan 0.1000 -0.0008
180 0.6584 nan 0.1000 -0.0004
200 0.6445 nan 0.1000 -0.0007
220 0.6309 nan 0.1000 -0.0007
240 0.6201 nan 0.1000 -0.0018
260 0.6102 nan 0.1000 -0.0007
280 0.6013 nan 0.1000 -0.0010
300 0.5915 nan 0.1000 -0.0009
320 0.5838 nan 0.1000 -0.0006
340 0.5745 nan 0.1000 -0.0006
360 0.5668 nan 0.1000 -0.0007
380 0.5585 nan 0.1000 -0.0007
400 0.5521 nan 0.1000 -0.0006
420 0.5468 nan 0.1000 -0.0008
440 0.5381 nan 0.1000 -0.0010
460 0.5310 nan 0.1000 -0.0008
480 0.5257 nan 0.1000 -0.0009
500 0.5206 nan 0.1000 -0.0005
520 0.5146 nan 0.1000 -0.0004
540 0.5087 nan 0.1000 -0.0007
560 0.5037 nan 0.1000 -0.0017
580 0.4964 nan 0.1000 -0.0006
600 0.4927 nan 0.1000 -0.0006
620 0.4869 nan 0.1000 -0.0008
640 0.4806 nan 0.1000 -0.0010
660 0.4771 nan 0.1000 -0.0010
680 0.4728 nan 0.1000 -0.0010
700 0.4697 nan 0.1000 -0.0010
720 0.4656 nan 0.1000 -0.0005
740 0.4594 nan 0.1000 -0.0013
760 0.4561 nan 0.1000 -0.0008
780 0.4507 nan 0.1000 -0.0011
800 0.4463 nan 0.1000 -0.0007
820 0.4443 nan 0.1000 -0.0013
840 0.4401 nan 0.1000 -0.0013
860 0.4375 nan 0.1000 -0.0008
880 0.4333 nan 0.1000 -0.0005
900 0.4276 nan 0.1000 -0.0013
920 0.4242 nan 0.1000 -0.0003
940 0.4216 nan 0.1000 -0.0010
960 0.4182 nan 0.1000 -0.0007
980 0.4149 nan 0.1000 -0.0004
1000 0.4108 nan 0.1000 -0.0011
1020 0.4077 nan 0.1000 -0.0006
1040 0.4054 nan 0.1000 -0.0007
1060 0.4036 nan 0.1000 -0.0004
1080 0.4000 nan 0.1000 -0.0009
1100 0.3974 nan 0.1000 -0.0012
- Fold08.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold08.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2588 nan 0.1000 0.0362
2 1.1931 nan 0.1000 0.0318
3 1.1407 nan 0.1000 0.0238
4 1.0947 nan 0.1000 0.0228
5 1.0563 nan 0.1000 0.0188
6 1.0208 nan 0.1000 0.0131
7 0.9905 nan 0.1000 0.0107
8 0.9703 nan 0.1000 0.0088
9 0.9500 nan 0.1000 0.0087
10 0.9329 nan 0.1000 0.0076
20 0.8378 nan 0.1000 0.0006
40 0.7610 nan 0.1000 0.0012
60 0.7166 nan 0.1000 -0.0019
80 0.6839 nan 0.1000 -0.0011
100 0.6587 nan 0.1000 -0.0011
120 0.6318 nan 0.1000 -0.0008
140 0.6131 nan 0.1000 -0.0012
160 0.5964 nan 0.1000 -0.0014
180 0.5818 nan 0.1000 -0.0006
200 0.5638 nan 0.1000 -0.0027
220 0.5495 nan 0.1000 -0.0012
240 0.5356 nan 0.1000 -0.0011
260 0.5208 nan 0.1000 -0.0010
280 0.5054 nan 0.1000 -0.0013
300 0.4926 nan 0.1000 -0.0011
320 0.4831 nan 0.1000 -0.0011
340 0.4742 nan 0.1000 -0.0024
360 0.4643 nan 0.1000 -0.0015
380 0.4547 nan 0.1000 -0.0013
400 0.4428 nan 0.1000 -0.0008
420 0.4354 nan 0.1000 -0.0011
440 0.4262 nan 0.1000 -0.0008
460 0.4196 nan 0.1000 -0.0009
480 0.4135 nan 0.1000 -0.0014
500 0.4046 nan 0.1000 -0.0011
520 0.3965 nan 0.1000 -0.0009
540 0.3894 nan 0.1000 -0.0006
560 0.3813 nan 0.1000 -0.0006
580 0.3740 nan 0.1000 -0.0007
600 0.3699 nan 0.1000 -0.0011
620 0.3632 nan 0.1000 -0.0010
640 0.3569 nan 0.1000 -0.0005
660 0.3518 nan 0.1000 -0.0005
680 0.3452 nan 0.1000 -0.0009
700 0.3388 nan 0.1000 -0.0009
720 0.3330 nan 0.1000 -0.0013
740 0.3284 nan 0.1000 -0.0009
760 0.3223 nan 0.1000 -0.0004
780 0.3175 nan 0.1000 -0.0006
800 0.3138 nan 0.1000 -0.0007
820 0.3105 nan 0.1000 -0.0011
840 0.3052 nan 0.1000 -0.0009
860 0.3004 nan 0.1000 -0.0003
880 0.2976 nan 0.1000 -0.0004
900 0.2923 nan 0.1000 -0.0014
920 0.2887 nan 0.1000 -0.0009
940 0.2866 nan 0.1000 -0.0010
960 0.2818 nan 0.1000 -0.0010
980 0.2783 nan 0.1000 -0.0015
1000 0.2760 nan 0.1000 -0.0006
1020 0.2730 nan 0.1000 -0.0011
1040 0.2685 nan 0.1000 -0.0012
1060 0.2659 nan 0.1000 -0.0006
1080 0.2634 nan 0.1000 -0.0007
1100 0.2600 nan 0.1000 -0.0012
- Fold08.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3260 nan 0.0100 0.0030
2 1.3202 nan 0.0100 0.0029
3 1.3147 nan 0.0100 0.0028
4 1.3092 nan 0.0100 0.0028
5 1.3038 nan 0.0100 0.0027
6 1.2985 nan 0.0100 0.0027
7 1.2932 nan 0.0100 0.0026
8 1.2880 nan 0.0100 0.0025
9 1.2827 nan 0.0100 0.0025
10 1.2773 nan 0.0100 0.0025
20 1.2337 nan 0.0100 0.0020
40 1.1660 nan 0.0100 0.0014
60 1.1179 nan 0.0100 0.0011
80 1.0803 nan 0.0100 0.0008
100 1.0493 nan 0.0100 0.0007
120 1.0231 nan 0.0100 0.0005
140 1.0018 nan 0.0100 0.0004
160 0.9836 nan 0.0100 0.0003
180 0.9670 nan 0.0100 0.0002
200 0.9528 nan 0.0100 0.0003
220 0.9405 nan 0.0100 0.0002
240 0.9290 nan 0.0100 0.0002
260 0.9187 nan 0.0100 0.0001
280 0.9100 nan 0.0100 0.0001
300 0.9015 nan 0.0100 0.0002
320 0.8942 nan 0.0100 0.0001
340 0.8871 nan 0.0100 0.0001
360 0.8808 nan 0.0100 0.0001
380 0.8750 nan 0.0100 0.0000
400 0.8698 nan 0.0100 0.0001
420 0.8648 nan 0.0100 -0.0001
440 0.8600 nan 0.0100 0.0001
460 0.8560 nan 0.0100 0.0000
480 0.8518 nan 0.0100 0.0001
500 0.8479 nan 0.0100 0.0000
520 0.8439 nan 0.0100 -0.0000
540 0.8404 nan 0.0100 0.0000
560 0.8371 nan 0.0100 0.0000
580 0.8338 nan 0.0100 0.0000
600 0.8307 nan 0.0100 0.0000
620 0.8279 nan 0.0100 0.0000
640 0.8252 nan 0.0100 -0.0000
660 0.8224 nan 0.0100 -0.0000
680 0.8197 nan 0.0100 -0.0000
700 0.8169 nan 0.0100 0.0000
720 0.8145 nan 0.0100 -0.0001
740 0.8121 nan 0.0100 -0.0000
760 0.8099 nan 0.0100 -0.0001
780 0.8079 nan 0.0100 -0.0000
800 0.8057 nan 0.0100 -0.0001
820 0.8037 nan 0.0100 0.0000
840 0.8018 nan 0.0100 0.0000
860 0.7998 nan 0.0100 -0.0000
880 0.7981 nan 0.0100 -0.0001
900 0.7962 nan 0.0100 0.0000
920 0.7942 nan 0.0100 -0.0000
940 0.7926 nan 0.0100 -0.0000
960 0.7907 nan 0.0100 -0.0000
980 0.7893 nan 0.0100 0.0000
1000 0.7877 nan 0.0100 -0.0000
1020 0.7861 nan 0.0100 0.0000
1040 0.7846 nan 0.0100 -0.0000
1060 0.7831 nan 0.0100 -0.0000
1080 0.7817 nan 0.0100 -0.0000
1100 0.7804 nan 0.0100 -0.0001
- Fold09.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3243 nan 0.0100 0.0037
2 1.3164 nan 0.0100 0.0034
3 1.3091 nan 0.0100 0.0035
4 1.3017 nan 0.0100 0.0035
5 1.2952 nan 0.0100 0.0035
6 1.2886 nan 0.0100 0.0032
7 1.2825 nan 0.0100 0.0033
8 1.2763 nan 0.0100 0.0032
9 1.2696 nan 0.0100 0.0031
10 1.2635 nan 0.0100 0.0031
20 1.2071 nan 0.0100 0.0027
40 1.1168 nan 0.0100 0.0016
60 1.0511 nan 0.0100 0.0014
80 1.0015 nan 0.0100 0.0010
100 0.9637 nan 0.0100 0.0008
120 0.9337 nan 0.0100 0.0006
140 0.9111 nan 0.0100 0.0004
160 0.8923 nan 0.0100 0.0004
180 0.8769 nan 0.0100 0.0003
200 0.8636 nan 0.0100 0.0003
220 0.8530 nan 0.0100 0.0000
240 0.8422 nan 0.0100 0.0001
260 0.8327 nan 0.0100 0.0001
280 0.8248 nan 0.0100 -0.0001
300 0.8169 nan 0.0100 -0.0000
320 0.8096 nan 0.0100 0.0002
340 0.8027 nan 0.0100 -0.0000
360 0.7974 nan 0.0100 -0.0001
380 0.7919 nan 0.0100 0.0001
400 0.7865 nan 0.0100 -0.0000
420 0.7813 nan 0.0100 -0.0000
440 0.7767 nan 0.0100 0.0001
460 0.7715 nan 0.0100 -0.0001
480 0.7671 nan 0.0100 -0.0002
500 0.7632 nan 0.0100 -0.0001
520 0.7595 nan 0.0100 -0.0001
540 0.7560 nan 0.0100 -0.0002
560 0.7526 nan 0.0100 -0.0000
580 0.7493 nan 0.0100 -0.0001
600 0.7463 nan 0.0100 -0.0000
620 0.7432 nan 0.0100 0.0000
640 0.7403 nan 0.0100 -0.0000
660 0.7373 nan 0.0100 -0.0001
680 0.7343 nan 0.0100 -0.0001
700 0.7320 nan 0.0100 -0.0001
720 0.7292 nan 0.0100 -0.0001
740 0.7269 nan 0.0100 -0.0001
760 0.7244 nan 0.0100 -0.0001
780 0.7216 nan 0.0100 -0.0001
800 0.7191 nan 0.0100 -0.0000
820 0.7168 nan 0.0100 -0.0001
840 0.7141 nan 0.0100 -0.0001
860 0.7119 nan 0.0100 -0.0001
880 0.7096 nan 0.0100 -0.0001
900 0.7079 nan 0.0100 -0.0001
920 0.7054 nan 0.0100 -0.0001
940 0.7033 nan 0.0100 -0.0001
960 0.7010 nan 0.0100 -0.0000
980 0.6994 nan 0.0100 -0.0001
1000 0.6975 nan 0.0100 -0.0002
1020 0.6956 nan 0.0100 -0.0001
1040 0.6937 nan 0.0100 0.0000
1060 0.6913 nan 0.0100 -0.0000
1080 0.6895 nan 0.0100 0.0001
1100 0.6875 nan 0.0100 -0.0001
- Fold09.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3235 nan 0.0100 0.0038
2 1.3154 nan 0.0100 0.0039
3 1.3076 nan 0.0100 0.0039
4 1.2996 nan 0.0100 0.0041
5 1.2922 nan 0.0100 0.0039
6 1.2850 nan 0.0100 0.0036
7 1.2776 nan 0.0100 0.0036
8 1.2707 nan 0.0100 0.0032
9 1.2639 nan 0.0100 0.0034
10 1.2567 nan 0.0100 0.0033
20 1.1932 nan 0.0100 0.0027
40 1.0950 nan 0.0100 0.0018
60 1.0224 nan 0.0100 0.0014
80 0.9682 nan 0.0100 0.0006
100 0.9278 nan 0.0100 0.0009
120 0.8960 nan 0.0100 0.0005
140 0.8715 nan 0.0100 0.0004
160 0.8512 nan 0.0100 0.0005
180 0.8350 nan 0.0100 0.0001
200 0.8204 nan 0.0100 0.0001
220 0.8084 nan 0.0100 -0.0000
240 0.7971 nan 0.0100 -0.0000
260 0.7872 nan 0.0100 0.0000
280 0.7785 nan 0.0100 0.0001
300 0.7711 nan 0.0100 0.0000
320 0.7630 nan 0.0100 -0.0001
340 0.7562 nan 0.0100 0.0001
360 0.7500 nan 0.0100 0.0000
380 0.7437 nan 0.0100 -0.0001
400 0.7380 nan 0.0100 -0.0000
420 0.7334 nan 0.0100 -0.0000
440 0.7283 nan 0.0100 -0.0001
460 0.7235 nan 0.0100 -0.0002
480 0.7189 nan 0.0100 -0.0001
500 0.7144 nan 0.0100 -0.0001
520 0.7103 nan 0.0100 0.0000
540 0.7064 nan 0.0100 -0.0000
560 0.7020 nan 0.0100 -0.0001
580 0.6983 nan 0.0100 -0.0001
600 0.6943 nan 0.0100 -0.0000
620 0.6903 nan 0.0100 -0.0000
640 0.6869 nan 0.0100 -0.0001
660 0.6832 nan 0.0100 -0.0001
680 0.6800 nan 0.0100 -0.0000
700 0.6769 nan 0.0100 -0.0002
720 0.6737 nan 0.0100 -0.0002
740 0.6705 nan 0.0100 -0.0003
760 0.6676 nan 0.0100 -0.0002
780 0.6645 nan 0.0100 -0.0001
800 0.6613 nan 0.0100 -0.0001
820 0.6581 nan 0.0100 -0.0001
840 0.6550 nan 0.0100 -0.0001
860 0.6520 nan 0.0100 -0.0002
880 0.6495 nan 0.0100 -0.0001
900 0.6468 nan 0.0100 -0.0000
920 0.6446 nan 0.0100 -0.0001
940 0.6417 nan 0.0100 -0.0001
960 0.6391 nan 0.0100 -0.0002
980 0.6364 nan 0.0100 -0.0001
1000 0.6337 nan 0.0100 -0.0001
1020 0.6311 nan 0.0100 -0.0001
1040 0.6289 nan 0.0100 -0.0001
1060 0.6265 nan 0.0100 -0.0001
1080 0.6241 nan 0.0100 -0.0001
1100 0.6207 nan 0.0100 0.0000
- Fold09.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2726 nan 0.1000 0.0277
2 1.2287 nan 0.1000 0.0237
3 1.1932 nan 0.1000 0.0190
4 1.1577 nan 0.1000 0.0148
5 1.1365 nan 0.1000 0.0078
6 1.1096 nan 0.1000 0.0116
7 1.0892 nan 0.1000 0.0100
8 1.0689 nan 0.1000 0.0075
9 1.0513 nan 0.1000 0.0055
10 1.0355 nan 0.1000 0.0061
20 0.9466 nan 0.1000 0.0020
40 0.8655 nan 0.1000 0.0005
60 0.8296 nan 0.1000 0.0002
80 0.8067 nan 0.1000 -0.0002
100 0.7891 nan 0.1000 -0.0004
120 0.7751 nan 0.1000 -0.0003
140 0.7632 nan 0.1000 -0.0008
160 0.7544 nan 0.1000 -0.0022
180 0.7472 nan 0.1000 0.0001
200 0.7395 nan 0.1000 -0.0004
220 0.7352 nan 0.1000 -0.0009
240 0.7286 nan 0.1000 -0.0007
260 0.7242 nan 0.1000 -0.0009
280 0.7199 nan 0.1000 -0.0004
300 0.7180 nan 0.1000 -0.0004
320 0.7132 nan 0.1000 -0.0008
340 0.7077 nan 0.1000 -0.0006
360 0.7053 nan 0.1000 -0.0009
380 0.7024 nan 0.1000 -0.0012
400 0.6988 nan 0.1000 -0.0016
420 0.6957 nan 0.1000 -0.0006
440 0.6924 nan 0.1000 -0.0008
460 0.6888 nan 0.1000 -0.0007
480 0.6872 nan 0.1000 -0.0012
500 0.6840 nan 0.1000 -0.0005
520 0.6809 nan 0.1000 -0.0013
540 0.6782 nan 0.1000 -0.0009
560 0.6763 nan 0.1000 -0.0013
580 0.6733 nan 0.1000 -0.0012
600 0.6704 nan 0.1000 -0.0006
620 0.6696 nan 0.1000 -0.0006
640 0.6662 nan 0.1000 -0.0011
660 0.6638 nan 0.1000 -0.0015
680 0.6619 nan 0.1000 -0.0002
700 0.6601 nan 0.1000 -0.0013
720 0.6594 nan 0.1000 -0.0014
740 0.6565 nan 0.1000 -0.0008
760 0.6537 nan 0.1000 -0.0003
780 0.6524 nan 0.1000 -0.0002
800 0.6502 nan 0.1000 -0.0009
820 0.6488 nan 0.1000 -0.0010
840 0.6475 nan 0.1000 -0.0018
860 0.6448 nan 0.1000 -0.0005
880 0.6432 nan 0.1000 -0.0004
900 0.6410 nan 0.1000 -0.0016
920 0.6398 nan 0.1000 -0.0008
940 0.6384 nan 0.1000 -0.0006
960 0.6371 nan 0.1000 -0.0007
980 0.6355 nan 0.1000 -0.0004
1000 0.6342 nan 0.1000 -0.0009
1020 0.6318 nan 0.1000 -0.0007
1040 0.6294 nan 0.1000 -0.0007
1060 0.6275 nan 0.1000 -0.0003
1080 0.6264 nan 0.1000 -0.0014
1100 0.6261 nan 0.1000 -0.0007
- Fold09.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2573 nan 0.1000 0.0347
2 1.1988 nan 0.1000 0.0294
3 1.1544 nan 0.1000 0.0210
4 1.1157 nan 0.1000 0.0204
5 1.0803 nan 0.1000 0.0164
6 1.0499 nan 0.1000 0.0151
7 1.0214 nan 0.1000 0.0130
8 0.9988 nan 0.1000 0.0101
9 0.9782 nan 0.1000 0.0097
10 0.9622 nan 0.1000 0.0076
20 0.8576 nan 0.1000 0.0031
40 0.7782 nan 0.1000 0.0004
60 0.7397 nan 0.1000 0.0012
80 0.7105 nan 0.1000 -0.0014
100 0.6881 nan 0.1000 -0.0010
120 0.6735 nan 0.1000 -0.0015
140 0.6597 nan 0.1000 -0.0010
160 0.6465 nan 0.1000 -0.0003
180 0.6317 nan 0.1000 -0.0014
200 0.6207 nan 0.1000 -0.0020
220 0.6065 nan 0.1000 -0.0013
240 0.5974 nan 0.1000 -0.0011
260 0.5884 nan 0.1000 -0.0004
280 0.5784 nan 0.1000 -0.0006
300 0.5706 nan 0.1000 -0.0015
320 0.5614 nan 0.1000 -0.0008
340 0.5533 nan 0.1000 -0.0012
360 0.5446 nan 0.1000 -0.0009
380 0.5363 nan 0.1000 -0.0009
400 0.5299 nan 0.1000 -0.0006
420 0.5246 nan 0.1000 -0.0014
440 0.5170 nan 0.1000 -0.0008
460 0.5107 nan 0.1000 -0.0012
480 0.5048 nan 0.1000 -0.0004
500 0.4968 nan 0.1000 -0.0010
520 0.4904 nan 0.1000 -0.0007
540 0.4829 nan 0.1000 -0.0002
560 0.4777 nan 0.1000 -0.0006
580 0.4718 nan 0.1000 -0.0007
600 0.4668 nan 0.1000 -0.0009
620 0.4613 nan 0.1000 -0.0008
640 0.4551 nan 0.1000 -0.0007
660 0.4496 nan 0.1000 -0.0009
680 0.4446 nan 0.1000 -0.0004
700 0.4398 nan 0.1000 -0.0010
720 0.4338 nan 0.1000 -0.0007
740 0.4299 nan 0.1000 -0.0018
760 0.4253 nan 0.1000 -0.0008
780 0.4216 nan 0.1000 -0.0010
800 0.4172 nan 0.1000 -0.0007
820 0.4127 nan 0.1000 -0.0006
840 0.4095 nan 0.1000 -0.0007
860 0.4057 nan 0.1000 -0.0007
880 0.4020 nan 0.1000 -0.0004
900 0.3984 nan 0.1000 -0.0005
920 0.3949 nan 0.1000 -0.0003
940 0.3919 nan 0.1000 -0.0007
960 0.3892 nan 0.1000 -0.0017
980 0.3853 nan 0.1000 -0.0005
1000 0.3821 nan 0.1000 -0.0005
1020 0.3803 nan 0.1000 -0.0012
1040 0.3786 nan 0.1000 -0.0007
1060 0.3761 nan 0.1000 -0.0004
1080 0.3731 nan 0.1000 -0.0016
1100 0.3698 nan 0.1000 -0.0012
- Fold09.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold09.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
variable 38: CabinCodeT has no variation.
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2582 nan 0.1000 0.0377
2 1.1871 nan 0.1000 0.0349
3 1.1342 nan 0.1000 0.0263
4 1.0865 nan 0.1000 0.0218
5 1.0490 nan 0.1000 0.0170
6 1.0162 nan 0.1000 0.0145
7 0.9866 nan 0.1000 0.0133
8 0.9627 nan 0.1000 0.0103
9 0.9420 nan 0.1000 0.0094
10 0.9277 nan 0.1000 0.0060
20 0.8180 nan 0.1000 0.0036
40 0.7376 nan 0.1000 0.0006
60 0.6911 nan 0.1000 -0.0011
80 0.6527 nan 0.1000 -0.0015
100 0.6243 nan 0.1000 -0.0023
120 0.6001 nan 0.1000 -0.0003
140 0.5830 nan 0.1000 -0.0018
160 0.5662 nan 0.1000 -0.0012
180 0.5528 nan 0.1000 -0.0013
200 0.5348 nan 0.1000 -0.0009
220 0.5211 nan 0.1000 -0.0011
240 0.5084 nan 0.1000 -0.0014
260 0.4935 nan 0.1000 -0.0010
280 0.4805 nan 0.1000 -0.0016
300 0.4711 nan 0.1000 -0.0012
320 0.4614 nan 0.1000 -0.0009
340 0.4506 nan 0.1000 -0.0014
360 0.4394 nan 0.1000 -0.0015
380 0.4288 nan 0.1000 -0.0015
400 0.4181 nan 0.1000 -0.0015
420 0.4102 nan 0.1000 -0.0008
440 0.4004 nan 0.1000 -0.0016
460 0.3918 nan 0.1000 -0.0009
480 0.3862 nan 0.1000 -0.0011
500 0.3796 nan 0.1000 -0.0018
520 0.3735 nan 0.1000 -0.0012
540 0.3666 nan 0.1000 -0.0014
560 0.3595 nan 0.1000 -0.0008
580 0.3524 nan 0.1000 -0.0009
600 0.3484 nan 0.1000 -0.0008
620 0.3438 nan 0.1000 -0.0005
640 0.3387 nan 0.1000 -0.0006
660 0.3349 nan 0.1000 -0.0010
680 0.3318 nan 0.1000 -0.0009
700 0.3257 nan 0.1000 -0.0009
720 0.3192 nan 0.1000 -0.0008
740 0.3134 nan 0.1000 -0.0014
760 0.3090 nan 0.1000 -0.0005
780 0.3032 nan 0.1000 -0.0002
800 0.2989 nan 0.1000 -0.0012
820 0.2949 nan 0.1000 -0.0005
840 0.2895 nan 0.1000 -0.0012
860 0.2857 nan 0.1000 -0.0009
880 0.2810 nan 0.1000 -0.0005
900 0.2772 nan 0.1000 -0.0010
920 0.2726 nan 0.1000 -0.0005
940 0.2691 nan 0.1000 -0.0006
960 0.2654 nan 0.1000 -0.0010
980 0.2624 nan 0.1000 -0.0004
1000 0.2577 nan 0.1000 -0.0007
1020 0.2538 nan 0.1000 -0.0007
1040 0.2498 nan 0.1000 -0.0009
1060 0.2465 nan 0.1000 -0.0014
1080 0.2444 nan 0.1000 -0.0010
1100 0.2409 nan 0.1000 -0.0013
- Fold09.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3266 nan 0.0100 0.0027
2 1.3210 nan 0.0100 0.0027
3 1.3155 nan 0.0100 0.0026
4 1.3107 nan 0.0100 0.0025
5 1.3058 nan 0.0100 0.0025
6 1.3001 nan 0.0100 0.0026
7 1.2952 nan 0.0100 0.0025
8 1.2907 nan 0.0100 0.0025
9 1.2858 nan 0.0100 0.0024
10 1.2813 nan 0.0100 0.0023
20 1.2388 nan 0.0100 0.0019
40 1.1742 nan 0.0100 0.0013
60 1.1278 nan 0.0100 0.0009
80 1.0931 nan 0.0100 0.0007
100 1.0646 nan 0.0100 0.0006
120 1.0408 nan 0.0100 0.0005
140 1.0211 nan 0.0100 0.0003
160 1.0036 nan 0.0100 0.0003
180 0.9890 nan 0.0100 0.0003
200 0.9767 nan 0.0100 0.0001
220 0.9655 nan 0.0100 0.0002
240 0.9559 nan 0.0100 0.0002
260 0.9475 nan 0.0100 0.0001
280 0.9394 nan 0.0100 0.0002
300 0.9316 nan 0.0100 -0.0000
320 0.9249 nan 0.0100 0.0001
340 0.9191 nan 0.0100 0.0001
360 0.9131 nan 0.0100 -0.0000
380 0.9074 nan 0.0100 0.0001
400 0.9024 nan 0.0100 0.0000
420 0.8979 nan 0.0100 -0.0000
440 0.8936 nan 0.0100 0.0000
460 0.8895 nan 0.0100 0.0000
480 0.8855 nan 0.0100 -0.0000
500 0.8816 nan 0.0100 0.0000
520 0.8781 nan 0.0100 0.0000
540 0.8749 nan 0.0100 -0.0000
560 0.8715 nan 0.0100 -0.0000
580 0.8683 nan 0.0100 0.0000
600 0.8654 nan 0.0100 0.0000
620 0.8626 nan 0.0100 0.0000
640 0.8598 nan 0.0100 0.0000
660 0.8572 nan 0.0100 0.0000
680 0.8548 nan 0.0100 0.0000
700 0.8522 nan 0.0100 -0.0000
720 0.8496 nan 0.0100 -0.0000
740 0.8473 nan 0.0100 -0.0000
760 0.8452 nan 0.0100 -0.0000
780 0.8432 nan 0.0100 -0.0000
800 0.8414 nan 0.0100 -0.0001
820 0.8394 nan 0.0100 -0.0001
840 0.8375 nan 0.0100 -0.0000
860 0.8359 nan 0.0100 -0.0000
880 0.8340 nan 0.0100 -0.0000
900 0.8322 nan 0.0100 -0.0001
920 0.8302 nan 0.0100 -0.0001
940 0.8285 nan 0.0100 -0.0001
960 0.8271 nan 0.0100 -0.0001
980 0.8259 nan 0.0100 -0.0000
1000 0.8244 nan 0.0100 -0.0001
1020 0.8231 nan 0.0100 -0.0000
1040 0.8217 nan 0.0100 -0.0000
1060 0.8204 nan 0.0100 -0.0000
1080 0.8190 nan 0.0100 -0.0001
1100 0.8179 nan 0.0100 -0.0000
- Fold10.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3244 nan 0.0100 0.0035
2 1.3169 nan 0.0100 0.0032
3 1.3100 nan 0.0100 0.0031
4 1.3032 nan 0.0100 0.0033
5 1.2966 nan 0.0100 0.0032
6 1.2903 nan 0.0100 0.0032
7 1.2839 nan 0.0100 0.0032
8 1.2782 nan 0.0100 0.0031
9 1.2721 nan 0.0100 0.0029
10 1.2664 nan 0.0100 0.0028
20 1.2141 nan 0.0100 0.0023
40 1.1307 nan 0.0100 0.0017
60 1.0703 nan 0.0100 0.0012
80 1.0249 nan 0.0100 0.0008
100 0.9887 nan 0.0100 0.0007
120 0.9621 nan 0.0100 0.0006
140 0.9396 nan 0.0100 0.0004
160 0.9222 nan 0.0100 0.0003
180 0.9077 nan 0.0100 0.0003
200 0.8960 nan 0.0100 0.0001
220 0.8855 nan 0.0100 -0.0000
240 0.8761 nan 0.0100 0.0001
260 0.8669 nan 0.0100 0.0001
280 0.8587 nan 0.0100 -0.0000
300 0.8515 nan 0.0100 0.0000
320 0.8453 nan 0.0100 0.0001
340 0.8392 nan 0.0100 -0.0000
360 0.8329 nan 0.0100 0.0000
380 0.8271 nan 0.0100 0.0000
400 0.8219 nan 0.0100 -0.0001
420 0.8174 nan 0.0100 -0.0000
440 0.8133 nan 0.0100 0.0000
460 0.8094 nan 0.0100 -0.0000
480 0.8054 nan 0.0100 0.0001
500 0.8016 nan 0.0100 -0.0000
520 0.7975 nan 0.0100 -0.0000
540 0.7943 nan 0.0100 -0.0000
560 0.7905 nan 0.0100 0.0001
580 0.7877 nan 0.0100 -0.0001
600 0.7844 nan 0.0100 -0.0001
620 0.7813 nan 0.0100 -0.0001
640 0.7781 nan 0.0100 -0.0000
660 0.7753 nan 0.0100 0.0000
680 0.7725 nan 0.0100 -0.0001
700 0.7699 nan 0.0100 -0.0000
720 0.7675 nan 0.0100 0.0000
740 0.7650 nan 0.0100 -0.0000
760 0.7622 nan 0.0100 -0.0000
780 0.7592 nan 0.0100 -0.0001
800 0.7574 nan 0.0100 -0.0001
820 0.7549 nan 0.0100 -0.0000
840 0.7526 nan 0.0100 -0.0001
860 0.7504 nan 0.0100 -0.0001
880 0.7482 nan 0.0100 -0.0000
900 0.7461 nan 0.0100 -0.0001
920 0.7436 nan 0.0100 -0.0001
940 0.7419 nan 0.0100 -0.0002
960 0.7398 nan 0.0100 -0.0002
980 0.7379 nan 0.0100 -0.0001
1000 0.7359 nan 0.0100 -0.0001
1020 0.7336 nan 0.0100 -0.0000
1040 0.7316 nan 0.0100 -0.0001
1060 0.7294 nan 0.0100 -0.0001
1080 0.7277 nan 0.0100 -0.0002
1100 0.7261 nan 0.0100 -0.0002
- Fold10.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.3243 nan 0.0100 0.0039
2 1.3164 nan 0.0100 0.0039
3 1.3093 nan 0.0100 0.0036
4 1.3018 nan 0.0100 0.0033
5 1.2943 nan 0.0100 0.0035
6 1.2874 nan 0.0100 0.0034
7 1.2799 nan 0.0100 0.0030
8 1.2729 nan 0.0100 0.0033
9 1.2663 nan 0.0100 0.0034
10 1.2599 nan 0.0100 0.0033
20 1.2014 nan 0.0100 0.0024
40 1.1093 nan 0.0100 0.0018
60 1.0414 nan 0.0100 0.0013
80 0.9922 nan 0.0100 0.0010
100 0.9532 nan 0.0100 0.0005
120 0.9240 nan 0.0100 0.0006
140 0.9018 nan 0.0100 0.0004
160 0.8833 nan 0.0100 0.0003
180 0.8679 nan 0.0100 0.0002
200 0.8543 nan 0.0100 0.0001
220 0.8426 nan 0.0100 0.0002
240 0.8319 nan 0.0100 0.0000
260 0.8230 nan 0.0100 0.0000
280 0.8149 nan 0.0100 -0.0001
300 0.8077 nan 0.0100 -0.0001
320 0.8004 nan 0.0100 0.0000
340 0.7942 nan 0.0100 0.0001
360 0.7880 nan 0.0100 -0.0001
380 0.7828 nan 0.0100 -0.0001
400 0.7773 nan 0.0100 -0.0000
420 0.7724 nan 0.0100 -0.0001
440 0.7668 nan 0.0100 -0.0000
460 0.7622 nan 0.0100 -0.0001
480 0.7575 nan 0.0100 -0.0000
500 0.7531 nan 0.0100 -0.0000
520 0.7489 nan 0.0100 -0.0000
540 0.7452 nan 0.0100 -0.0001
560 0.7415 nan 0.0100 -0.0001
580 0.7377 nan 0.0100 -0.0000
600 0.7344 nan 0.0100 -0.0002
620 0.7309 nan 0.0100 -0.0001
640 0.7272 nan 0.0100 0.0000
660 0.7244 nan 0.0100 -0.0002
680 0.7209 nan 0.0100 -0.0001
700 0.7180 nan 0.0100 -0.0000
720 0.7152 nan 0.0100 -0.0001
740 0.7120 nan 0.0100 -0.0001
760 0.7088 nan 0.0100 -0.0001
780 0.7061 nan 0.0100 -0.0001
800 0.7031 nan 0.0100 -0.0002
820 0.6998 nan 0.0100 -0.0002
840 0.6974 nan 0.0100 -0.0002
860 0.6947 nan 0.0100 -0.0001
880 0.6917 nan 0.0100 -0.0002
900 0.6888 nan 0.0100 -0.0001
920 0.6865 nan 0.0100 -0.0002
940 0.6841 nan 0.0100 -0.0000
960 0.6811 nan 0.0100 -0.0001
980 0.6785 nan 0.0100 -0.0001
1000 0.6757 nan 0.0100 -0.0001
1020 0.6730 nan 0.0100 -0.0000
1040 0.6706 nan 0.0100 -0.0001
1060 0.6678 nan 0.0100 -0.0001
1080 0.6652 nan 0.0100 -0.0002
1100 0.6629 nan 0.0100 -0.0001
- Fold10.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2811 nan 0.1000 0.0263
2 1.2358 nan 0.1000 0.0208
3 1.2003 nan 0.1000 0.0167
4 1.1715 nan 0.1000 0.0136
5 1.1459 nan 0.1000 0.0130
6 1.1271 nan 0.1000 0.0082
7 1.1069 nan 0.1000 0.0082
8 1.0900 nan 0.1000 0.0083
9 1.0747 nan 0.1000 0.0060
10 1.0600 nan 0.1000 0.0064
20 0.9761 nan 0.1000 0.0020
40 0.9020 nan 0.1000 0.0004
60 0.8669 nan 0.1000 -0.0005
80 0.8447 nan 0.1000 -0.0013
100 0.8263 nan 0.1000 -0.0006
120 0.8131 nan 0.1000 -0.0003
140 0.8032 nan 0.1000 -0.0004
160 0.7943 nan 0.1000 -0.0010
180 0.7876 nan 0.1000 -0.0003
200 0.7798 nan 0.1000 -0.0002
220 0.7735 nan 0.1000 -0.0009
240 0.7694 nan 0.1000 -0.0006
260 0.7658 nan 0.1000 -0.0013
280 0.7609 nan 0.1000 -0.0004
300 0.7570 nan 0.1000 -0.0006
320 0.7526 nan 0.1000 -0.0011
340 0.7487 nan 0.1000 -0.0003
360 0.7447 nan 0.1000 -0.0003
380 0.7419 nan 0.1000 -0.0001
400 0.7394 nan 0.1000 -0.0006
420 0.7343 nan 0.1000 -0.0007
440 0.7306 nan 0.1000 -0.0011
460 0.7282 nan 0.1000 -0.0005
480 0.7260 nan 0.1000 -0.0014
500 0.7242 nan 0.1000 -0.0003
520 0.7204 nan 0.1000 -0.0004
540 0.7190 nan 0.1000 -0.0008
560 0.7167 nan 0.1000 -0.0011
580 0.7149 nan 0.1000 -0.0002
600 0.7116 nan 0.1000 -0.0006
620 0.7105 nan 0.1000 -0.0011
640 0.7084 nan 0.1000 -0.0005
660 0.7072 nan 0.1000 -0.0007
680 0.7048 nan 0.1000 -0.0010
700 0.7040 nan 0.1000 -0.0005
720 0.7012 nan 0.1000 -0.0013
740 0.6989 nan 0.1000 -0.0008
760 0.6961 nan 0.1000 -0.0003
780 0.6946 nan 0.1000 -0.0006
800 0.6930 nan 0.1000 -0.0004
820 0.6921 nan 0.1000 -0.0006
840 0.6904 nan 0.1000 -0.0004
860 0.6883 nan 0.1000 -0.0011
880 0.6878 nan 0.1000 -0.0010
900 0.6863 nan 0.1000 -0.0007
920 0.6844 nan 0.1000 -0.0013
940 0.6826 nan 0.1000 -0.0012
960 0.6808 nan 0.1000 -0.0006
980 0.6801 nan 0.1000 -0.0011
1000 0.6797 nan 0.1000 -0.0004
1020 0.6784 nan 0.1000 -0.0005
1040 0.6777 nan 0.1000 -0.0011
1060 0.6760 nan 0.1000 -0.0007
1080 0.6740 nan 0.1000 -0.0003
1100 0.6733 nan 0.1000 -0.0020
- Fold10.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2664 nan 0.1000 0.0321
2 1.2099 nan 0.1000 0.0256
3 1.1637 nan 0.1000 0.0211
4 1.1230 nan 0.1000 0.0198
5 1.0900 nan 0.1000 0.0157
6 1.0608 nan 0.1000 0.0119
7 1.0382 nan 0.1000 0.0110
8 1.0174 nan 0.1000 0.0096
9 0.9990 nan 0.1000 0.0088
10 0.9820 nan 0.1000 0.0071
20 0.8923 nan 0.1000 -0.0010
40 0.8216 nan 0.1000 -0.0002
60 0.7872 nan 0.1000 -0.0006
80 0.7622 nan 0.1000 -0.0016
100 0.7408 nan 0.1000 -0.0009
120 0.7253 nan 0.1000 -0.0008
140 0.7073 nan 0.1000 -0.0012
160 0.6962 nan 0.1000 -0.0013
180 0.6798 nan 0.1000 -0.0011
200 0.6677 nan 0.1000 0.0003
220 0.6585 nan 0.1000 -0.0019
240 0.6472 nan 0.1000 -0.0008
260 0.6372 nan 0.1000 -0.0010
280 0.6266 nan 0.1000 -0.0011
300 0.6151 nan 0.1000 -0.0008
320 0.6067 nan 0.1000 -0.0007
340 0.5981 nan 0.1000 -0.0007
360 0.5889 nan 0.1000 -0.0006
380 0.5833 nan 0.1000 -0.0009
400 0.5765 nan 0.1000 -0.0008
420 0.5685 nan 0.1000 -0.0011
440 0.5626 nan 0.1000 -0.0009
460 0.5554 nan 0.1000 -0.0003
480 0.5502 nan 0.1000 -0.0009
500 0.5447 nan 0.1000 -0.0010
520 0.5377 nan 0.1000 -0.0011
540 0.5306 nan 0.1000 -0.0015
560 0.5244 nan 0.1000 -0.0005
580 0.5219 nan 0.1000 -0.0018
600 0.5176 nan 0.1000 -0.0008
620 0.5140 nan 0.1000 -0.0008
640 0.5081 nan 0.1000 -0.0005
660 0.5042 nan 0.1000 -0.0002
680 0.5001 nan 0.1000 -0.0005
700 0.4931 nan 0.1000 -0.0005
720 0.4898 nan 0.1000 -0.0016
740 0.4856 nan 0.1000 -0.0009
760 0.4811 nan 0.1000 -0.0009
780 0.4778 nan 0.1000 -0.0010
800 0.4736 nan 0.1000 -0.0001
820 0.4701 nan 0.1000 -0.0006
840 0.4665 nan 0.1000 -0.0004
860 0.4639 nan 0.1000 -0.0014
880 0.4596 nan 0.1000 -0.0010
900 0.4557 nan 0.1000 -0.0008
920 0.4509 nan 0.1000 -0.0010
940 0.4478 nan 0.1000 -0.0006
960 0.4425 nan 0.1000 -0.0008
980 0.4395 nan 0.1000 -0.0015
1000 0.4364 nan 0.1000 -0.0011
1020 0.4345 nan 0.1000 -0.0010
1040 0.4301 nan 0.1000 -0.0004
1060 0.4268 nan 0.1000 -0.0007
1080 0.4225 nan 0.1000 -0.0005
1100 0.4188 nan 0.1000 -0.0009
- Fold10.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100
+ Fold10.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2549 nan 0.1000 0.0340
2 1.1983 nan 0.1000 0.0267
3 1.1467 nan 0.1000 0.0215
4 1.1076 nan 0.1000 0.0183
5 1.0669 nan 0.1000 0.0165
6 1.0356 nan 0.1000 0.0139
7 1.0078 nan 0.1000 0.0133
8 0.9895 nan 0.1000 0.0069
9 0.9700 nan 0.1000 0.0086
10 0.9533 nan 0.1000 0.0089
20 0.8541 nan 0.1000 0.0008
40 0.7811 nan 0.1000 -0.0014
60 0.7419 nan 0.1000 -0.0017
80 0.7099 nan 0.1000 -0.0013
100 0.6791 nan 0.1000 -0.0009
120 0.6589 nan 0.1000 -0.0016
140 0.6338 nan 0.1000 -0.0011
160 0.6159 nan 0.1000 -0.0017
180 0.5971 nan 0.1000 -0.0004
200 0.5818 nan 0.1000 -0.0013
220 0.5670 nan 0.1000 -0.0006
240 0.5538 nan 0.1000 -0.0010
260 0.5379 nan 0.1000 -0.0004
280 0.5277 nan 0.1000 -0.0012
300 0.5145 nan 0.1000 -0.0010
320 0.5071 nan 0.1000 -0.0013
340 0.4940 nan 0.1000 -0.0004
360 0.4829 nan 0.1000 -0.0008
380 0.4716 nan 0.1000 -0.0011
400 0.4640 nan 0.1000 -0.0010
420 0.4566 nan 0.1000 -0.0010
440 0.4518 nan 0.1000 -0.0006
460 0.4457 nan 0.1000 -0.0005
480 0.4380 nan 0.1000 -0.0007
500 0.4309 nan 0.1000 -0.0014
520 0.4247 nan 0.1000 -0.0014
540 0.4184 nan 0.1000 -0.0016
560 0.4134 nan 0.1000 -0.0016
580 0.4080 nan 0.1000 -0.0013
600 0.3991 nan 0.1000 -0.0017
620 0.3945 nan 0.1000 -0.0001
640 0.3878 nan 0.1000 -0.0020
660 0.3822 nan 0.1000 -0.0009
680 0.3763 nan 0.1000 -0.0009
700 0.3728 nan 0.1000 -0.0009
720 0.3666 nan 0.1000 -0.0004
740 0.3622 nan 0.1000 -0.0014
760 0.3561 nan 0.1000 -0.0010
780 0.3503 nan 0.1000 -0.0013
800 0.3445 nan 0.1000 -0.0013
820 0.3404 nan 0.1000 -0.0008
840 0.3369 nan 0.1000 -0.0011
860 0.3333 nan 0.1000 -0.0005
880 0.3298 nan 0.1000 -0.0009
900 0.3271 nan 0.1000 -0.0008
920 0.3230 nan 0.1000 -0.0011
940 0.3196 nan 0.1000 -0.0007
960 0.3148 nan 0.1000 -0.0011
980 0.3111 nan 0.1000 -0.0008
1000 0.3074 nan 0.1000 -0.0012
1020 0.3025 nan 0.1000 -0.0010
1040 0.2986 nan 0.1000 -0.0007
1060 0.2953 nan 0.1000 -0.0010
1080 0.2908 nan 0.1000 -0.0006
1100 0.2875 nan 0.1000 -0.0006
- Fold10.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100
Aggregating results
Selecting tuning parameters
Fitting n.trees = 500, interaction.depth = 2, shrinkage = 0.1, n.minobsinnode = 10 on full training set
Iter TrainDeviance ValidDeviance StepSize Improve
1 1.2635 nan 0.1000 0.0356
2 1.2002 nan 0.1000 0.0289
3 1.1545 nan 0.1000 0.0242
4 1.1142 nan 0.1000 0.0178
5 1.0785 nan 0.1000 0.0166
6 1.0514 nan 0.1000 0.0132
7 1.0235 nan 0.1000 0.0116
8 1.0022 nan 0.1000 0.0096
9 0.9844 nan 0.1000 0.0077
10 0.9653 nan 0.1000 0.0087
20 0.8692 nan 0.1000 0.0027
40 0.8006 nan 0.1000 0.0002
60 0.7627 nan 0.1000 -0.0005
80 0.7403 nan 0.1000 -0.0002
100 0.7172 nan 0.1000 0.0001
120 0.6996 nan 0.1000 -0.0010
140 0.6836 nan 0.1000 -0.0007
160 0.6712 nan 0.1000 -0.0012
180 0.6596 nan 0.1000 -0.0013
200 0.6447 nan 0.1000 -0.0014
220 0.6364 nan 0.1000 -0.0013
240 0.6258 nan 0.1000 -0.0012
260 0.6169 nan 0.1000 -0.0010
280 0.6078 nan 0.1000 -0.0006
300 0.5981 nan 0.1000 -0.0012
320 0.5896 nan 0.1000 -0.0006
340 0.5827 nan 0.1000 -0.0016
360 0.5758 nan 0.1000 -0.0007
380 0.5676 nan 0.1000 -0.0015
400 0.5608 nan 0.1000 -0.0012
420 0.5563 nan 0.1000 -0.0011
440 0.5507 nan 0.1000 -0.0008
460 0.5433 nan 0.1000 -0.0008
480 0.5369 nan 0.1000 -0.0008
500 0.5316 nan 0.1000 -0.0007
save(boostFit,file = 'boostFit')
boostFitStochastic Gradient Boosting
891 samples
54 predictor
2 classes: 'Survived', 'Dead'
No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times)
Summary of sample sizes: 803, 802, 802, 802, 802, 802, ...
Resampling results across tuning parameters:
shrinkage interaction.depth n.trees ROC Sens Spec
0.01 1 500 0.8689366 0.7217815 0.8809091
0.01 1 700 0.8716218 0.7351597 0.8830976
0.01 1 900 0.8734233 0.7462857 0.8798182
0.01 1 1100 0.8740110 0.7579496 0.8787273
0.01 2 500 0.8771476 0.7386723 0.8819933
0.01 2 700 0.8789303 0.7544034 0.8827205
0.01 2 900 0.8793513 0.7561345 0.8805387
0.01 2 1100 0.8801369 0.7578655 0.8805387
0.01 3 500 0.8792604 0.7480000 0.8827273
0.01 3 700 0.8807626 0.7526723 0.8816364
0.01 3 900 0.8818241 0.7514622 0.8845589
0.01 3 1100 0.8820285 0.7514622 0.8856498
0.10 1 500 0.8709785 0.7474286 0.8740000
0.10 1 700 0.8711078 0.7445210 0.8743367
0.10 1 900 0.8695370 0.7398824 0.8739731
0.10 1 1100 0.8692388 0.7398824 0.8743232
0.10 2 500 0.8821622 0.7421345 0.8849226
0.10 2 700 0.8806252 0.7433445 0.8859798
0.10 2 900 0.8793410 0.7397983 0.8808620
0.10 2 1100 0.8771106 0.7409580 0.8768687
0.10 3 500 0.8811666 0.7449916 0.8830640
0.10 3 700 0.8808769 0.7438319 0.8743165
0.10 3 900 0.8784885 0.7450588 0.8662896
0.10 3 1100 0.8775440 0.7403866 0.8673805
Tuning parameter 'n.minobsinnode' was held constant at a value of 10
ROC was used to select the optimal model using the largest value.
The final values used for the model were n.trees = 500, interaction.depth = 2, shrinkage
= 0.1 and n.minobsinnode = 10.
plot(boostFit)xyplot(oobag.improve~1:1100,data=boostFit$finalModel,alpha=.5,xlab = 'n.trees')plot(varImp(boostFit))densityplot(boostFit,pch='|')predict(boostFit,type = 'prob') -> train.Probs
histogram(~Survived+Dead,train.Probs)customRF <-
list(type = "Classification",
library = "randomForest",
loop = NULL)
customRF$parameters <- data.frame(
parameter = c("mtry", "ntree", 'nodesize', 'replace'),
class = c("numeric", 'numeric', 'numeric', 'logical'),
label = c("mtry", "ntree", 'nodesize', 'replace')
)
customRF$grid <- function(x, y, len = NULL, search = "grid") {}
customRF$fit <-
function(x,
y,
wts,
param,
lev,
last,
weights,
classProbs,
...) {
randomForest(
x,
y,
mtry = param$mtry,
ntree = param$ntree,
replace = param$replace,
# classwt = param$classwt,
nodesize = param$nodesize
)
}
customRF$predict <-
function(modelFit,
newdata,
preProc = NULL,
submodels = NULL)
predict(modelFit, newdata)
customRF$prob <-
function(modelFit,
newdata,
preProc = NULL,
submodels = NULL)
predict(modelFit, newdata, type = "prob")
customRF$sort <- function(x)
x[order(x[, 1]), ]
customRF$levels <- function(x)
x$classes
customRF$type
[1] "Classification"
$library
[1] "randomForest"
$loop
NULL
$parameters
$grid
function (x, y, len = NULL, search = "grid")
{
}
$fit
function (x, y, wts, param, lev, last, weights, classProbs, ...)
{
randomForest(x, y, mtry = param$mtry, ntree = param$ntree,
replace = param$replace, nodesize = param$nodesize)
}
$predict
function (modelFit, newdata, preProc = NULL, submodels = NULL)
predict(modelFit, newdata)
$prob
function (modelFit, newdata, preProc = NULL, submodels = NULL)
predict(modelFit, newdata, type = "prob")
$sort
function (x)
x[order(x[, 1]), ]
$levels
function (x)
x$classes
adapt_ctrl <- trainControl(method = "repeatedcv",
repeats = 5,
verboseIter = T,
classProbs = TRUE,
summaryFunction = twoClassSummary,
adaptive = list(min = 5, alpha = 0.05,
method = "gls", complete = TRUE),
search = 'random'
)
ctrl <- trainControl(
method = "repeatedcv",
repeats = 5,
verboseIter = T,
classProbs = TRUE,
summaryFunction = twoClassSummary,
# sampling = 'smote'
)
crfGrid <- expand.grid(
mtry = c(10, 15, 20, 29),
ntree = c(100, 300, 500),
nodesize = c(1, 5, 10),
replace = c(T, F)
# classwt = c(0.6, 0.8)
)
set.seed(1)
crfFit <- train(
form = Survived ~ .,
data = train.imp,
method = customRF,
trControl = adapt_ctrl,
# metric = "Kappa",
tuneGrid = crfGrid,
verbose = TRUE,
classwt = c(0.38, 0.61)
)The metric "Accuracy" was not in the result set. ROC will be used instead.
+ Fold01.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
Aggregating results
Selecting tuning parameters
Fitting mtry = 15, ntree = 500, nodesize = 5, replace = TRUE on full training set
crfFit_class <- train(
form = Survived ~ .,
data = train.imp,
method = customRF,
trControl = adapt_ctrl,
# metric = "Kappa",
tuneGrid = crfGrid,
verbose = TRUE,
classwt = c(0.38, 0.61)
)The metric "Accuracy" was not in the result set. ROC will be used instead.
+ Fold01.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold01.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold01.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold01.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold01.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold01.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold01.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold01.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold01.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold01.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold01.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold01.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold01.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold02.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold02.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold02.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold02.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold02.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold02.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold02.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold02.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold02.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold02.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold02.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold02.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold03.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold03.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold03.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold03.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold03.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold03.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold03.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold03.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold03.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold03.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold03.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold03.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold04.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold04.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold04.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold04.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold04.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold04.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold04.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold04.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold04.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold04.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold04.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold04.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold05.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold05.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold05.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold05.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold05.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold05.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold05.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold05.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold05.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold05.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold05.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold05.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold06.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold06.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold06.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold06.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold06.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold06.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold06.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold06.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold06.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold06.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold06.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold06.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold07.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold07.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold07.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold07.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold07.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold07.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold07.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold07.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold07.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold07.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold07.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold07.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold08.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold08.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold08.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold08.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold08.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold08.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold08.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold08.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold08.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold08.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold08.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold08.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold09.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold09.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold09.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold09.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold09.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold09.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold09.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold09.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold09.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold09.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold09.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold09.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
- Fold10.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE
+ Fold10.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
- Fold10.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE
+ Fold10.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
- Fold10.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE
+ Fold10.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
- Fold10.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE
+ Fold10.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
- Fold10.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE
+ Fold10.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE
+ Fold10.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
- Fold10.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE
Aggregating results
Selecting tuning parameters
Fitting mtry = 15, ntree = 500, nodesize = 5, replace = TRUE on full training set
save(crfFit,'crfFit')Error in save(crfFit, "crfFit") : 'file' must be specified
ctrl <- trainControl(method = "repeatedcv",
repeats = 5,
verboseIter = T,
classProbs = TRUE,
summaryFunction = twoClassSummary
# sampling = 'smote'
)
cforestGrid <- expand.grid(mtry=c(10,20,30,40))
set.seed(1)
cforestFit <- train(
form = Survived~.,
data = train.imp,
method = 'cforest',
trControl = ctrl,
tuneGrid = cforestGrid
# verbose = TRUE
# ntree = 400
)The metric "Accuracy" was not in the result set. ROC will be used instead.
+ Fold01.Rep1: mtry=10
- Fold01.Rep1: mtry=10
+ Fold01.Rep1: mtry=20
- Fold01.Rep1: mtry=20
+ Fold01.Rep1: mtry=30
- Fold01.Rep1: mtry=30
+ Fold01.Rep1: mtry=40
- Fold01.Rep1: mtry=40
+ Fold02.Rep1: mtry=10
- Fold02.Rep1: mtry=10
+ Fold02.Rep1: mtry=20
- Fold02.Rep1: mtry=20
+ Fold02.Rep1: mtry=30
- Fold02.Rep1: mtry=30
+ Fold02.Rep1: mtry=40
- Fold02.Rep1: mtry=40
+ Fold03.Rep1: mtry=10
- Fold03.Rep1: mtry=10
+ Fold03.Rep1: mtry=20
- Fold03.Rep1: mtry=20
+ Fold03.Rep1: mtry=30
- Fold03.Rep1: mtry=30
+ Fold03.Rep1: mtry=40
- Fold03.Rep1: mtry=40
+ Fold04.Rep1: mtry=10
- Fold04.Rep1: mtry=10
+ Fold04.Rep1: mtry=20
- Fold04.Rep1: mtry=20
+ Fold04.Rep1: mtry=30
- Fold04.Rep1: mtry=30
+ Fold04.Rep1: mtry=40
- Fold04.Rep1: mtry=40
+ Fold05.Rep1: mtry=10
- Fold05.Rep1: mtry=10
+ Fold05.Rep1: mtry=20
- Fold05.Rep1: mtry=20
+ Fold05.Rep1: mtry=30
- Fold05.Rep1: mtry=30
+ Fold05.Rep1: mtry=40
- Fold05.Rep1: mtry=40
+ Fold06.Rep1: mtry=10
- Fold06.Rep1: mtry=10
+ Fold06.Rep1: mtry=20
- Fold06.Rep1: mtry=20
+ Fold06.Rep1: mtry=30
- Fold06.Rep1: mtry=30
+ Fold06.Rep1: mtry=40
- Fold06.Rep1: mtry=40
+ Fold07.Rep1: mtry=10
- Fold07.Rep1: mtry=10
+ Fold07.Rep1: mtry=20
- Fold07.Rep1: mtry=20
+ Fold07.Rep1: mtry=30
- Fold07.Rep1: mtry=30
+ Fold07.Rep1: mtry=40
- Fold07.Rep1: mtry=40
+ Fold08.Rep1: mtry=10
- Fold08.Rep1: mtry=10
+ Fold08.Rep1: mtry=20
- Fold08.Rep1: mtry=20
+ Fold08.Rep1: mtry=30
- Fold08.Rep1: mtry=30
+ Fold08.Rep1: mtry=40
- Fold08.Rep1: mtry=40
+ Fold09.Rep1: mtry=10
- Fold09.Rep1: mtry=10
+ Fold09.Rep1: mtry=20
- Fold09.Rep1: mtry=20
+ Fold09.Rep1: mtry=30
- Fold09.Rep1: mtry=30
+ Fold09.Rep1: mtry=40
- Fold09.Rep1: mtry=40
+ Fold10.Rep1: mtry=10
- Fold10.Rep1: mtry=10
+ Fold10.Rep1: mtry=20
- Fold10.Rep1: mtry=20
+ Fold10.Rep1: mtry=30
- Fold10.Rep1: mtry=30
+ Fold10.Rep1: mtry=40
- Fold10.Rep1: mtry=40
+ Fold01.Rep2: mtry=10
- Fold01.Rep2: mtry=10
+ Fold01.Rep2: mtry=20
- Fold01.Rep2: mtry=20
+ Fold01.Rep2: mtry=30
- Fold01.Rep2: mtry=30
+ Fold01.Rep2: mtry=40
- Fold01.Rep2: mtry=40
+ Fold02.Rep2: mtry=10
- Fold02.Rep2: mtry=10
+ Fold02.Rep2: mtry=20
- Fold02.Rep2: mtry=20
+ Fold02.Rep2: mtry=30
- Fold02.Rep2: mtry=30
+ Fold02.Rep2: mtry=40
- Fold02.Rep2: mtry=40
+ Fold03.Rep2: mtry=10
- Fold03.Rep2: mtry=10
+ Fold03.Rep2: mtry=20
- Fold03.Rep2: mtry=20
+ Fold03.Rep2: mtry=30
- Fold03.Rep2: mtry=30
+ Fold03.Rep2: mtry=40
- Fold03.Rep2: mtry=40
+ Fold04.Rep2: mtry=10
- Fold04.Rep2: mtry=10
+ Fold04.Rep2: mtry=20
- Fold04.Rep2: mtry=20
+ Fold04.Rep2: mtry=30
- Fold04.Rep2: mtry=30
+ Fold04.Rep2: mtry=40
- Fold04.Rep2: mtry=40
+ Fold05.Rep2: mtry=10
- Fold05.Rep2: mtry=10
+ Fold05.Rep2: mtry=20
- Fold05.Rep2: mtry=20
+ Fold05.Rep2: mtry=30
- Fold05.Rep2: mtry=30
+ Fold05.Rep2: mtry=40
- Fold05.Rep2: mtry=40
+ Fold06.Rep2: mtry=10
- Fold06.Rep2: mtry=10
+ Fold06.Rep2: mtry=20
- Fold06.Rep2: mtry=20
+ Fold06.Rep2: mtry=30
- Fold06.Rep2: mtry=30
+ Fold06.Rep2: mtry=40
- Fold06.Rep2: mtry=40
+ Fold07.Rep2: mtry=10
- Fold07.Rep2: mtry=10
+ Fold07.Rep2: mtry=20
- Fold07.Rep2: mtry=20
+ Fold07.Rep2: mtry=30
- Fold07.Rep2: mtry=30
+ Fold07.Rep2: mtry=40
- Fold07.Rep2: mtry=40
+ Fold08.Rep2: mtry=10
- Fold08.Rep2: mtry=10
+ Fold08.Rep2: mtry=20
- Fold08.Rep2: mtry=20
+ Fold08.Rep2: mtry=30
- Fold08.Rep2: mtry=30
+ Fold08.Rep2: mtry=40
- Fold08.Rep2: mtry=40
+ Fold09.Rep2: mtry=10
- Fold09.Rep2: mtry=10
+ Fold09.Rep2: mtry=20
- Fold09.Rep2: mtry=20
+ Fold09.Rep2: mtry=30
- Fold09.Rep2: mtry=30
+ Fold09.Rep2: mtry=40
- Fold09.Rep2: mtry=40
+ Fold10.Rep2: mtry=10
- Fold10.Rep2: mtry=10
+ Fold10.Rep2: mtry=20
- Fold10.Rep2: mtry=20
+ Fold10.Rep2: mtry=30
- Fold10.Rep2: mtry=30
+ Fold10.Rep2: mtry=40
- Fold10.Rep2: mtry=40
+ Fold01.Rep3: mtry=10
- Fold01.Rep3: mtry=10
+ Fold01.Rep3: mtry=20
- Fold01.Rep3: mtry=20
+ Fold01.Rep3: mtry=30
- Fold01.Rep3: mtry=30
+ Fold01.Rep3: mtry=40
- Fold01.Rep3: mtry=40
+ Fold02.Rep3: mtry=10
- Fold02.Rep3: mtry=10
+ Fold02.Rep3: mtry=20
- Fold02.Rep3: mtry=20
+ Fold02.Rep3: mtry=30
- Fold02.Rep3: mtry=30
+ Fold02.Rep3: mtry=40
- Fold02.Rep3: mtry=40
+ Fold03.Rep3: mtry=10
- Fold03.Rep3: mtry=10
+ Fold03.Rep3: mtry=20
- Fold03.Rep3: mtry=20
+ Fold03.Rep3: mtry=30
- Fold03.Rep3: mtry=30
+ Fold03.Rep3: mtry=40
- Fold03.Rep3: mtry=40
+ Fold04.Rep3: mtry=10
- Fold04.Rep3: mtry=10
+ Fold04.Rep3: mtry=20
- Fold04.Rep3: mtry=20
+ Fold04.Rep3: mtry=30
- Fold04.Rep3: mtry=30
+ Fold04.Rep3: mtry=40
- Fold04.Rep3: mtry=40
+ Fold05.Rep3: mtry=10
- Fold05.Rep3: mtry=10
+ Fold05.Rep3: mtry=20
- Fold05.Rep3: mtry=20
+ Fold05.Rep3: mtry=30
- Fold05.Rep3: mtry=30
+ Fold05.Rep3: mtry=40
- Fold05.Rep3: mtry=40
+ Fold06.Rep3: mtry=10
- Fold06.Rep3: mtry=10
+ Fold06.Rep3: mtry=20
- Fold06.Rep3: mtry=20
+ Fold06.Rep3: mtry=30
- Fold06.Rep3: mtry=30
+ Fold06.Rep3: mtry=40
- Fold06.Rep3: mtry=40
+ Fold07.Rep3: mtry=10
- Fold07.Rep3: mtry=10
+ Fold07.Rep3: mtry=20
- Fold07.Rep3: mtry=20
+ Fold07.Rep3: mtry=30
- Fold07.Rep3: mtry=30
+ Fold07.Rep3: mtry=40
- Fold07.Rep3: mtry=40
+ Fold08.Rep3: mtry=10
- Fold08.Rep3: mtry=10
+ Fold08.Rep3: mtry=20
- Fold08.Rep3: mtry=20
+ Fold08.Rep3: mtry=30
- Fold08.Rep3: mtry=30
+ Fold08.Rep3: mtry=40
- Fold08.Rep3: mtry=40
+ Fold09.Rep3: mtry=10
- Fold09.Rep3: mtry=10
+ Fold09.Rep3: mtry=20
- Fold09.Rep3: mtry=20
+ Fold09.Rep3: mtry=30
- Fold09.Rep3: mtry=30
+ Fold09.Rep3: mtry=40
- Fold09.Rep3: mtry=40
+ Fold10.Rep3: mtry=10
- Fold10.Rep3: mtry=10
+ Fold10.Rep3: mtry=20
- Fold10.Rep3: mtry=20
+ Fold10.Rep3: mtry=30
- Fold10.Rep3: mtry=30
+ Fold10.Rep3: mtry=40
- Fold10.Rep3: mtry=40
+ Fold01.Rep4: mtry=10
- Fold01.Rep4: mtry=10
+ Fold01.Rep4: mtry=20
- Fold01.Rep4: mtry=20
+ Fold01.Rep4: mtry=30
- Fold01.Rep4: mtry=30
+ Fold01.Rep4: mtry=40
- Fold01.Rep4: mtry=40
+ Fold02.Rep4: mtry=10
- Fold02.Rep4: mtry=10
+ Fold02.Rep4: mtry=20
- Fold02.Rep4: mtry=20
+ Fold02.Rep4: mtry=30
- Fold02.Rep4: mtry=30
+ Fold02.Rep4: mtry=40
- Fold02.Rep4: mtry=40
+ Fold03.Rep4: mtry=10
- Fold03.Rep4: mtry=10
+ Fold03.Rep4: mtry=20
- Fold03.Rep4: mtry=20
+ Fold03.Rep4: mtry=30
- Fold03.Rep4: mtry=30
+ Fold03.Rep4: mtry=40
- Fold03.Rep4: mtry=40
+ Fold04.Rep4: mtry=10
- Fold04.Rep4: mtry=10
+ Fold04.Rep4: mtry=20
- Fold04.Rep4: mtry=20
+ Fold04.Rep4: mtry=30
- Fold04.Rep4: mtry=30
+ Fold04.Rep4: mtry=40
- Fold04.Rep4: mtry=40
+ Fold05.Rep4: mtry=10
- Fold05.Rep4: mtry=10
+ Fold05.Rep4: mtry=20
- Fold05.Rep4: mtry=20
+ Fold05.Rep4: mtry=30
- Fold05.Rep4: mtry=30
+ Fold05.Rep4: mtry=40
- Fold05.Rep4: mtry=40
+ Fold06.Rep4: mtry=10
- Fold06.Rep4: mtry=10
+ Fold06.Rep4: mtry=20
- Fold06.Rep4: mtry=20
+ Fold06.Rep4: mtry=30
- Fold06.Rep4: mtry=30
+ Fold06.Rep4: mtry=40
- Fold06.Rep4: mtry=40
+ Fold07.Rep4: mtry=10
- Fold07.Rep4: mtry=10
+ Fold07.Rep4: mtry=20
- Fold07.Rep4: mtry=20
+ Fold07.Rep4: mtry=30
- Fold07.Rep4: mtry=30
+ Fold07.Rep4: mtry=40
- Fold07.Rep4: mtry=40
+ Fold08.Rep4: mtry=10
- Fold08.Rep4: mtry=10
+ Fold08.Rep4: mtry=20
- Fold08.Rep4: mtry=20
+ Fold08.Rep4: mtry=30
- Fold08.Rep4: mtry=30
+ Fold08.Rep4: mtry=40
- Fold08.Rep4: mtry=40
+ Fold09.Rep4: mtry=10
- Fold09.Rep4: mtry=10
+ Fold09.Rep4: mtry=20
- Fold09.Rep4: mtry=20
+ Fold09.Rep4: mtry=30
- Fold09.Rep4: mtry=30
+ Fold09.Rep4: mtry=40
- Fold09.Rep4: mtry=40
+ Fold10.Rep4: mtry=10
- Fold10.Rep4: mtry=10
+ Fold10.Rep4: mtry=20
- Fold10.Rep4: mtry=20
+ Fold10.Rep4: mtry=30
- Fold10.Rep4: mtry=30
+ Fold10.Rep4: mtry=40
- Fold10.Rep4: mtry=40
+ Fold01.Rep5: mtry=10
- Fold01.Rep5: mtry=10
+ Fold01.Rep5: mtry=20
- Fold01.Rep5: mtry=20
+ Fold01.Rep5: mtry=30
- Fold01.Rep5: mtry=30
+ Fold01.Rep5: mtry=40
- Fold01.Rep5: mtry=40
+ Fold02.Rep5: mtry=10
- Fold02.Rep5: mtry=10
+ Fold02.Rep5: mtry=20
- Fold02.Rep5: mtry=20
+ Fold02.Rep5: mtry=30
- Fold02.Rep5: mtry=30
+ Fold02.Rep5: mtry=40
- Fold02.Rep5: mtry=40
+ Fold03.Rep5: mtry=10
- Fold03.Rep5: mtry=10
+ Fold03.Rep5: mtry=20
- Fold03.Rep5: mtry=20
+ Fold03.Rep5: mtry=30
- Fold03.Rep5: mtry=30
+ Fold03.Rep5: mtry=40
- Fold03.Rep5: mtry=40
+ Fold04.Rep5: mtry=10
- Fold04.Rep5: mtry=10
+ Fold04.Rep5: mtry=20
- Fold04.Rep5: mtry=20
+ Fold04.Rep5: mtry=30
- Fold04.Rep5: mtry=30
+ Fold04.Rep5: mtry=40
- Fold04.Rep5: mtry=40
+ Fold05.Rep5: mtry=10
- Fold05.Rep5: mtry=10
+ Fold05.Rep5: mtry=20
- Fold05.Rep5: mtry=20
+ Fold05.Rep5: mtry=30
- Fold05.Rep5: mtry=30
+ Fold05.Rep5: mtry=40
- Fold05.Rep5: mtry=40
+ Fold06.Rep5: mtry=10
- Fold06.Rep5: mtry=10
+ Fold06.Rep5: mtry=20
- Fold06.Rep5: mtry=20
+ Fold06.Rep5: mtry=30
- Fold06.Rep5: mtry=30
+ Fold06.Rep5: mtry=40
- Fold06.Rep5: mtry=40
+ Fold07.Rep5: mtry=10
- Fold07.Rep5: mtry=10
+ Fold07.Rep5: mtry=20
- Fold07.Rep5: mtry=20
+ Fold07.Rep5: mtry=30
- Fold07.Rep5: mtry=30
+ Fold07.Rep5: mtry=40
- Fold07.Rep5: mtry=40
+ Fold08.Rep5: mtry=10
- Fold08.Rep5: mtry=10
+ Fold08.Rep5: mtry=20
- Fold08.Rep5: mtry=20
+ Fold08.Rep5: mtry=30
- Fold08.Rep5: mtry=30
+ Fold08.Rep5: mtry=40
- Fold08.Rep5: mtry=40
+ Fold09.Rep5: mtry=10
- Fold09.Rep5: mtry=10
+ Fold09.Rep5: mtry=20
- Fold09.Rep5: mtry=20
+ Fold09.Rep5: mtry=30
- Fold09.Rep5: mtry=30
+ Fold09.Rep5: mtry=40
- Fold09.Rep5: mtry=40
+ Fold10.Rep5: mtry=10
- Fold10.Rep5: mtry=10
+ Fold10.Rep5: mtry=20
- Fold10.Rep5: mtry=20
+ Fold10.Rep5: mtry=30
- Fold10.Rep5: mtry=30
+ Fold10.Rep5: mtry=40
- Fold10.Rep5: mtry=40
Aggregating results
Selecting tuning parameters
Fitting mtry = 40 on full training set
save(cforestFit,file = 'cforestFit')
cforestFitConditional Inference Random Forest
891 samples
28 predictor
2 classes: 'Survived', 'Dead'
No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times)
Summary of sample sizes: 803, 802, 802, 802, 802, 802, ...
Resampling results across tuning parameters:
mtry ROC Sens Spec
10 0.8753441 0.7124538 0.8954680
20 0.8788925 0.7123866 0.8994747
30 0.8793607 0.7064706 0.9013131
40 0.8809314 0.6983193 0.9042088
ROC was used to select the optimal model using the largest value.
The final value used for the model was mtry = 40.
plot(cforestFit)densityplot(cforestFit,pch='|')predict(cforestFit,type = 'prob') -> train.crf.Probs
histogram(~Survived+Dead,train.crf.Probs)adapt_ctrl <- trainControl(method = "repeatedcv",
repeats = 5,
verboseIter = T,
classProbs = TRUE,
summaryFunction = twoClassSummary,
adaptive = list(min = 5, alpha = 0.05,
method = "gls", complete = TRUE),
search = 'random'
)
rfGrid <- expand.grid(mtry=c(5,10,15,20,25))
set.seed(1)
rfFit.y <- train(
form = Survived~.,
data = train.imp,
method = 'rf',
trControl = adapt_ctrl,
tuneGrid = rfGrid,
verbose = TRUE,
ntree = 400
)The metric "Accuracy" was not in the result set. ROC will be used instead.
+ Fold01.Rep1: mtry= 5
- Fold01.Rep1: mtry= 5
+ Fold01.Rep1: mtry=10
- Fold01.Rep1: mtry=10
+ Fold01.Rep1: mtry=15
- Fold01.Rep1: mtry=15
+ Fold01.Rep1: mtry=20
- Fold01.Rep1: mtry=20
+ Fold01.Rep1: mtry=25
- Fold01.Rep1: mtry=25
+ Fold02.Rep1: mtry= 5
- Fold02.Rep1: mtry= 5
+ Fold02.Rep1: mtry=10
- Fold02.Rep1: mtry=10
+ Fold02.Rep1: mtry=15
- Fold02.Rep1: mtry=15
+ Fold02.Rep1: mtry=20
- Fold02.Rep1: mtry=20
+ Fold02.Rep1: mtry=25
- Fold02.Rep1: mtry=25
+ Fold03.Rep1: mtry= 5
- Fold03.Rep1: mtry= 5
+ Fold03.Rep1: mtry=10
- Fold03.Rep1: mtry=10
+ Fold03.Rep1: mtry=15
- Fold03.Rep1: mtry=15
+ Fold03.Rep1: mtry=20
- Fold03.Rep1: mtry=20
+ Fold03.Rep1: mtry=25
- Fold03.Rep1: mtry=25
+ Fold04.Rep1: mtry= 5
- Fold04.Rep1: mtry= 5
+ Fold04.Rep1: mtry=10
- Fold04.Rep1: mtry=10
+ Fold04.Rep1: mtry=15
- Fold04.Rep1: mtry=15
+ Fold04.Rep1: mtry=20
- Fold04.Rep1: mtry=20
+ Fold04.Rep1: mtry=25
- Fold04.Rep1: mtry=25
+ Fold05.Rep1: mtry= 5
- Fold05.Rep1: mtry= 5
+ Fold05.Rep1: mtry=10
- Fold05.Rep1: mtry=10
+ Fold05.Rep1: mtry=15
- Fold05.Rep1: mtry=15
+ Fold05.Rep1: mtry=20
- Fold05.Rep1: mtry=20
+ Fold05.Rep1: mtry=25
- Fold05.Rep1: mtry=25
+ Fold06.Rep1: mtry= 5
- Fold06.Rep1: mtry= 5
+ Fold06.Rep1: mtry=10
- Fold06.Rep1: mtry=10
+ Fold06.Rep1: mtry=15
- Fold06.Rep1: mtry=15
+ Fold06.Rep1: mtry=20
- Fold06.Rep1: mtry=20
+ Fold06.Rep1: mtry=25
- Fold06.Rep1: mtry=25
+ Fold07.Rep1: mtry= 5
- Fold07.Rep1: mtry= 5
+ Fold07.Rep1: mtry=10
- Fold07.Rep1: mtry=10
+ Fold07.Rep1: mtry=15
- Fold07.Rep1: mtry=15
+ Fold07.Rep1: mtry=20
- Fold07.Rep1: mtry=20
+ Fold07.Rep1: mtry=25
- Fold07.Rep1: mtry=25
+ Fold08.Rep1: mtry= 5
- Fold08.Rep1: mtry= 5
+ Fold08.Rep1: mtry=10
- Fold08.Rep1: mtry=10
+ Fold08.Rep1: mtry=15
- Fold08.Rep1: mtry=15
+ Fold08.Rep1: mtry=20
- Fold08.Rep1: mtry=20
+ Fold08.Rep1: mtry=25
- Fold08.Rep1: mtry=25
+ Fold09.Rep1: mtry= 5
- Fold09.Rep1: mtry= 5
+ Fold09.Rep1: mtry=10
- Fold09.Rep1: mtry=10
+ Fold09.Rep1: mtry=15
- Fold09.Rep1: mtry=15
+ Fold09.Rep1: mtry=20
- Fold09.Rep1: mtry=20
+ Fold09.Rep1: mtry=25
- Fold09.Rep1: mtry=25
+ Fold10.Rep1: mtry= 5
- Fold10.Rep1: mtry= 5
+ Fold10.Rep1: mtry=10
- Fold10.Rep1: mtry=10
+ Fold10.Rep1: mtry=15
- Fold10.Rep1: mtry=15
+ Fold10.Rep1: mtry=20
- Fold10.Rep1: mtry=20
+ Fold10.Rep1: mtry=25
- Fold10.Rep1: mtry=25
+ Fold01.Rep2: mtry= 5
- Fold01.Rep2: mtry= 5
+ Fold01.Rep2: mtry=10
- Fold01.Rep2: mtry=10
+ Fold01.Rep2: mtry=15
- Fold01.Rep2: mtry=15
+ Fold01.Rep2: mtry=20
- Fold01.Rep2: mtry=20
+ Fold01.Rep2: mtry=25
- Fold01.Rep2: mtry=25
+ Fold02.Rep2: mtry= 5
- Fold02.Rep2: mtry= 5
+ Fold02.Rep2: mtry=10
- Fold02.Rep2: mtry=10
+ Fold02.Rep2: mtry=15
- Fold02.Rep2: mtry=15
+ Fold02.Rep2: mtry=20
- Fold02.Rep2: mtry=20
+ Fold02.Rep2: mtry=25
- Fold02.Rep2: mtry=25
+ Fold03.Rep2: mtry= 5
- Fold03.Rep2: mtry= 5
+ Fold03.Rep2: mtry=10
- Fold03.Rep2: mtry=10
+ Fold03.Rep2: mtry=15
- Fold03.Rep2: mtry=15
+ Fold03.Rep2: mtry=20
- Fold03.Rep2: mtry=20
+ Fold03.Rep2: mtry=25
- Fold03.Rep2: mtry=25
+ Fold04.Rep2: mtry= 5
- Fold04.Rep2: mtry= 5
+ Fold04.Rep2: mtry=10
- Fold04.Rep2: mtry=10
+ Fold04.Rep2: mtry=15
- Fold04.Rep2: mtry=15
+ Fold04.Rep2: mtry=20
- Fold04.Rep2: mtry=20
+ Fold04.Rep2: mtry=25
- Fold04.Rep2: mtry=25
+ Fold05.Rep2: mtry= 5
- Fold05.Rep2: mtry= 5
+ Fold05.Rep2: mtry=10
- Fold05.Rep2: mtry=10
+ Fold05.Rep2: mtry=15
- Fold05.Rep2: mtry=15
+ Fold05.Rep2: mtry=20
- Fold05.Rep2: mtry=20
+ Fold05.Rep2: mtry=25
- Fold05.Rep2: mtry=25
+ Fold06.Rep2: mtry= 5
- Fold06.Rep2: mtry= 5
+ Fold06.Rep2: mtry=10
- Fold06.Rep2: mtry=10
+ Fold06.Rep2: mtry=15
- Fold06.Rep2: mtry=15
+ Fold06.Rep2: mtry=20
- Fold06.Rep2: mtry=20
+ Fold06.Rep2: mtry=25
- Fold06.Rep2: mtry=25
+ Fold07.Rep2: mtry= 5
- Fold07.Rep2: mtry= 5
+ Fold07.Rep2: mtry=10
- Fold07.Rep2: mtry=10
+ Fold07.Rep2: mtry=15
- Fold07.Rep2: mtry=15
+ Fold07.Rep2: mtry=20
- Fold07.Rep2: mtry=20
+ Fold07.Rep2: mtry=25
- Fold07.Rep2: mtry=25
+ Fold08.Rep2: mtry= 5
- Fold08.Rep2: mtry= 5
+ Fold08.Rep2: mtry=10
- Fold08.Rep2: mtry=10
+ Fold08.Rep2: mtry=15
- Fold08.Rep2: mtry=15
+ Fold08.Rep2: mtry=20
- Fold08.Rep2: mtry=20
+ Fold08.Rep2: mtry=25
- Fold08.Rep2: mtry=25
+ Fold09.Rep2: mtry= 5
- Fold09.Rep2: mtry= 5
+ Fold09.Rep2: mtry=10
- Fold09.Rep2: mtry=10
+ Fold09.Rep2: mtry=15
- Fold09.Rep2: mtry=15
+ Fold09.Rep2: mtry=20
- Fold09.Rep2: mtry=20
+ Fold09.Rep2: mtry=25
- Fold09.Rep2: mtry=25
+ Fold10.Rep2: mtry= 5
- Fold10.Rep2: mtry= 5
+ Fold10.Rep2: mtry=10
- Fold10.Rep2: mtry=10
+ Fold10.Rep2: mtry=15
- Fold10.Rep2: mtry=15
+ Fold10.Rep2: mtry=20
- Fold10.Rep2: mtry=20
+ Fold10.Rep2: mtry=25
- Fold10.Rep2: mtry=25
+ Fold01.Rep3: mtry= 5
- Fold01.Rep3: mtry= 5
+ Fold01.Rep3: mtry=10
- Fold01.Rep3: mtry=10
+ Fold01.Rep3: mtry=15
- Fold01.Rep3: mtry=15
+ Fold01.Rep3: mtry=20
- Fold01.Rep3: mtry=20
+ Fold01.Rep3: mtry=25
- Fold01.Rep3: mtry=25
+ Fold02.Rep3: mtry= 5
- Fold02.Rep3: mtry= 5
+ Fold02.Rep3: mtry=10
- Fold02.Rep3: mtry=10
+ Fold02.Rep3: mtry=15
- Fold02.Rep3: mtry=15
+ Fold02.Rep3: mtry=20
- Fold02.Rep3: mtry=20
+ Fold02.Rep3: mtry=25
- Fold02.Rep3: mtry=25
+ Fold03.Rep3: mtry= 5
- Fold03.Rep3: mtry= 5
+ Fold03.Rep3: mtry=10
- Fold03.Rep3: mtry=10
+ Fold03.Rep3: mtry=15
- Fold03.Rep3: mtry=15
+ Fold03.Rep3: mtry=20
- Fold03.Rep3: mtry=20
+ Fold03.Rep3: mtry=25
- Fold03.Rep3: mtry=25
+ Fold04.Rep3: mtry= 5
- Fold04.Rep3: mtry= 5
+ Fold04.Rep3: mtry=10
- Fold04.Rep3: mtry=10
+ Fold04.Rep3: mtry=15
- Fold04.Rep3: mtry=15
+ Fold04.Rep3: mtry=20
- Fold04.Rep3: mtry=20
+ Fold04.Rep3: mtry=25
- Fold04.Rep3: mtry=25
+ Fold05.Rep3: mtry= 5
- Fold05.Rep3: mtry= 5
+ Fold05.Rep3: mtry=10
- Fold05.Rep3: mtry=10
+ Fold05.Rep3: mtry=15
- Fold05.Rep3: mtry=15
+ Fold05.Rep3: mtry=20
- Fold05.Rep3: mtry=20
+ Fold05.Rep3: mtry=25
- Fold05.Rep3: mtry=25
+ Fold06.Rep3: mtry= 5
- Fold06.Rep3: mtry= 5
+ Fold06.Rep3: mtry=10
- Fold06.Rep3: mtry=10
+ Fold06.Rep3: mtry=15
- Fold06.Rep3: mtry=15
+ Fold06.Rep3: mtry=20
- Fold06.Rep3: mtry=20
+ Fold06.Rep3: mtry=25
- Fold06.Rep3: mtry=25
+ Fold07.Rep3: mtry= 5
- Fold07.Rep3: mtry= 5
+ Fold07.Rep3: mtry=10
- Fold07.Rep3: mtry=10
+ Fold07.Rep3: mtry=15
- Fold07.Rep3: mtry=15
+ Fold07.Rep3: mtry=20
- Fold07.Rep3: mtry=20
+ Fold07.Rep3: mtry=25
- Fold07.Rep3: mtry=25
+ Fold08.Rep3: mtry= 5
- Fold08.Rep3: mtry= 5
+ Fold08.Rep3: mtry=10
- Fold08.Rep3: mtry=10
+ Fold08.Rep3: mtry=15
- Fold08.Rep3: mtry=15
+ Fold08.Rep3: mtry=20
- Fold08.Rep3: mtry=20
+ Fold08.Rep3: mtry=25
- Fold08.Rep3: mtry=25
+ Fold09.Rep3: mtry= 5
- Fold09.Rep3: mtry= 5
+ Fold09.Rep3: mtry=10
- Fold09.Rep3: mtry=10
+ Fold09.Rep3: mtry=15
- Fold09.Rep3: mtry=15
+ Fold09.Rep3: mtry=20
- Fold09.Rep3: mtry=20
+ Fold09.Rep3: mtry=25
- Fold09.Rep3: mtry=25
+ Fold10.Rep3: mtry= 5
- Fold10.Rep3: mtry= 5
+ Fold10.Rep3: mtry=10
- Fold10.Rep3: mtry=10
+ Fold10.Rep3: mtry=15
- Fold10.Rep3: mtry=15
+ Fold10.Rep3: mtry=20
- Fold10.Rep3: mtry=20
+ Fold10.Rep3: mtry=25
- Fold10.Rep3: mtry=25
+ Fold01.Rep4: mtry= 5
- Fold01.Rep4: mtry= 5
+ Fold01.Rep4: mtry=10
- Fold01.Rep4: mtry=10
+ Fold01.Rep4: mtry=15
- Fold01.Rep4: mtry=15
+ Fold01.Rep4: mtry=20
- Fold01.Rep4: mtry=20
+ Fold01.Rep4: mtry=25
- Fold01.Rep4: mtry=25
+ Fold02.Rep4: mtry= 5
- Fold02.Rep4: mtry= 5
+ Fold02.Rep4: mtry=10
- Fold02.Rep4: mtry=10
+ Fold02.Rep4: mtry=15
- Fold02.Rep4: mtry=15
+ Fold02.Rep4: mtry=20
- Fold02.Rep4: mtry=20
+ Fold02.Rep4: mtry=25
- Fold02.Rep4: mtry=25
+ Fold03.Rep4: mtry= 5
- Fold03.Rep4: mtry= 5
+ Fold03.Rep4: mtry=10
- Fold03.Rep4: mtry=10
+ Fold03.Rep4: mtry=15
- Fold03.Rep4: mtry=15
+ Fold03.Rep4: mtry=20
- Fold03.Rep4: mtry=20
+ Fold03.Rep4: mtry=25
- Fold03.Rep4: mtry=25
+ Fold04.Rep4: mtry= 5
- Fold04.Rep4: mtry= 5
+ Fold04.Rep4: mtry=10
- Fold04.Rep4: mtry=10
+ Fold04.Rep4: mtry=15
- Fold04.Rep4: mtry=15
+ Fold04.Rep4: mtry=20
- Fold04.Rep4: mtry=20
+ Fold04.Rep4: mtry=25
- Fold04.Rep4: mtry=25
+ Fold05.Rep4: mtry= 5
- Fold05.Rep4: mtry= 5
+ Fold05.Rep4: mtry=10
- Fold05.Rep4: mtry=10
+ Fold05.Rep4: mtry=15
- Fold05.Rep4: mtry=15
+ Fold05.Rep4: mtry=20
- Fold05.Rep4: mtry=20
+ Fold05.Rep4: mtry=25
- Fold05.Rep4: mtry=25
+ Fold06.Rep4: mtry= 5
- Fold06.Rep4: mtry= 5
+ Fold06.Rep4: mtry=10
- Fold06.Rep4: mtry=10
+ Fold06.Rep4: mtry=15
- Fold06.Rep4: mtry=15
+ Fold06.Rep4: mtry=20
- Fold06.Rep4: mtry=20
+ Fold06.Rep4: mtry=25
- Fold06.Rep4: mtry=25
+ Fold07.Rep4: mtry= 5
- Fold07.Rep4: mtry= 5
+ Fold07.Rep4: mtry=10
- Fold07.Rep4: mtry=10
+ Fold07.Rep4: mtry=15
- Fold07.Rep4: mtry=15
+ Fold07.Rep4: mtry=20
- Fold07.Rep4: mtry=20
+ Fold07.Rep4: mtry=25
- Fold07.Rep4: mtry=25
+ Fold08.Rep4: mtry= 5
- Fold08.Rep4: mtry= 5
+ Fold08.Rep4: mtry=10
- Fold08.Rep4: mtry=10
+ Fold08.Rep4: mtry=15
- Fold08.Rep4: mtry=15
+ Fold08.Rep4: mtry=20
- Fold08.Rep4: mtry=20
+ Fold08.Rep4: mtry=25
- Fold08.Rep4: mtry=25
+ Fold09.Rep4: mtry= 5
- Fold09.Rep4: mtry= 5
+ Fold09.Rep4: mtry=10
- Fold09.Rep4: mtry=10
+ Fold09.Rep4: mtry=15
- Fold09.Rep4: mtry=15
+ Fold09.Rep4: mtry=20
- Fold09.Rep4: mtry=20
+ Fold09.Rep4: mtry=25
- Fold09.Rep4: mtry=25
+ Fold10.Rep4: mtry= 5
- Fold10.Rep4: mtry= 5
+ Fold10.Rep4: mtry=10
- Fold10.Rep4: mtry=10
+ Fold10.Rep4: mtry=15
- Fold10.Rep4: mtry=15
+ Fold10.Rep4: mtry=20
- Fold10.Rep4: mtry=20
+ Fold10.Rep4: mtry=25
- Fold10.Rep4: mtry=25
+ Fold01.Rep5: mtry= 5
- Fold01.Rep5: mtry= 5
+ Fold01.Rep5: mtry=10
- Fold01.Rep5: mtry=10
+ Fold01.Rep5: mtry=15
- Fold01.Rep5: mtry=15
+ Fold01.Rep5: mtry=20
- Fold01.Rep5: mtry=20
+ Fold01.Rep5: mtry=25
- Fold01.Rep5: mtry=25
+ Fold02.Rep5: mtry= 5
- Fold02.Rep5: mtry= 5
+ Fold02.Rep5: mtry=10
- Fold02.Rep5: mtry=10
+ Fold02.Rep5: mtry=15
- Fold02.Rep5: mtry=15
+ Fold02.Rep5: mtry=20
- Fold02.Rep5: mtry=20
+ Fold02.Rep5: mtry=25
- Fold02.Rep5: mtry=25
+ Fold03.Rep5: mtry= 5
- Fold03.Rep5: mtry= 5
+ Fold03.Rep5: mtry=10
- Fold03.Rep5: mtry=10
+ Fold03.Rep5: mtry=15
- Fold03.Rep5: mtry=15
+ Fold03.Rep5: mtry=20
- Fold03.Rep5: mtry=20
+ Fold03.Rep5: mtry=25
- Fold03.Rep5: mtry=25
+ Fold04.Rep5: mtry= 5
- Fold04.Rep5: mtry= 5
+ Fold04.Rep5: mtry=10
- Fold04.Rep5: mtry=10
+ Fold04.Rep5: mtry=15
- Fold04.Rep5: mtry=15
+ Fold04.Rep5: mtry=20
- Fold04.Rep5: mtry=20
+ Fold04.Rep5: mtry=25
- Fold04.Rep5: mtry=25
+ Fold05.Rep5: mtry= 5
- Fold05.Rep5: mtry= 5
+ Fold05.Rep5: mtry=10
- Fold05.Rep5: mtry=10
+ Fold05.Rep5: mtry=15
- Fold05.Rep5: mtry=15
+ Fold05.Rep5: mtry=20
- Fold05.Rep5: mtry=20
+ Fold05.Rep5: mtry=25
- Fold05.Rep5: mtry=25
+ Fold06.Rep5: mtry= 5
- Fold06.Rep5: mtry= 5
+ Fold06.Rep5: mtry=10
- Fold06.Rep5: mtry=10
+ Fold06.Rep5: mtry=15
- Fold06.Rep5: mtry=15
+ Fold06.Rep5: mtry=20
- Fold06.Rep5: mtry=20
+ Fold06.Rep5: mtry=25
- Fold06.Rep5: mtry=25
+ Fold07.Rep5: mtry= 5
- Fold07.Rep5: mtry= 5
+ Fold07.Rep5: mtry=10
- Fold07.Rep5: mtry=10
+ Fold07.Rep5: mtry=15
- Fold07.Rep5: mtry=15
+ Fold07.Rep5: mtry=20
- Fold07.Rep5: mtry=20
+ Fold07.Rep5: mtry=25
- Fold07.Rep5: mtry=25
+ Fold08.Rep5: mtry= 5
- Fold08.Rep5: mtry= 5
+ Fold08.Rep5: mtry=10
- Fold08.Rep5: mtry=10
+ Fold08.Rep5: mtry=15
- Fold08.Rep5: mtry=15
+ Fold08.Rep5: mtry=20
- Fold08.Rep5: mtry=20
+ Fold08.Rep5: mtry=25
- Fold08.Rep5: mtry=25
+ Fold09.Rep5: mtry= 5
- Fold09.Rep5: mtry= 5
+ Fold09.Rep5: mtry=10
- Fold09.Rep5: mtry=10
+ Fold09.Rep5: mtry=15
- Fold09.Rep5: mtry=15
+ Fold09.Rep5: mtry=20
- Fold09.Rep5: mtry=20
+ Fold09.Rep5: mtry=25
- Fold09.Rep5: mtry=25
+ Fold10.Rep5: mtry= 5
- Fold10.Rep5: mtry= 5
+ Fold10.Rep5: mtry=10
- Fold10.Rep5: mtry=10
+ Fold10.Rep5: mtry=15
- Fold10.Rep5: mtry=15
+ Fold10.Rep5: mtry=20
- Fold10.Rep5: mtry=20
+ Fold10.Rep5: mtry=25
- Fold10.Rep5: mtry=25
Aggregating results
Selecting tuning parameters
Fitting mtry = 15 on full training set
save(rfFit.y,file = 'rfFit.y')
rfFit.yRandom Forest
891 samples
28 predictor
2 classes: 'Survived', 'Dead'
No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times)
Summary of sample sizes: 803, 802, 802, 802, 802, 802, ...
Resampling results across tuning parameters:
mtry ROC Sens Spec
5 0.8854743 0.7139664 0.8965791
10 0.8889779 0.7321513 0.8932862
15 0.8890252 0.7409580 0.8896364
20 0.8881383 0.7433277 0.8841684
25 0.8873726 0.7415294 0.8845320
ROC was used to select the optimal model using the largest value.
The final value used for the model was mtry = 15.
plot(rfFit.y)plot(rfFit.y$finalModel)densityplot(rfFit.y,pch='|')predict(rfFit.y,type = 'prob') -> train.rf.Probs
histogram(~Survived+Dead,train.rf.Probs)rfsmoteFit.yRandom Forest
891 samples
28 predictor
2 classes: 'Survived', 'Dead'
No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times)
Summary of sample sizes: 803, 802, 802, 802, 802, 802, ...
Addtional sampling using SMOTE
Resampling results across tuning parameters:
mtry ROC Sens Spec
5 0.8806244 0.6333782 0.9380875
10 0.8832278 0.6883361 0.9144444
15 0.8858064 0.6966050 0.9053064
20 0.8838532 0.7123193 0.8994815
25 0.8799713 0.7153109 0.8907205
ROC was used to select the optimal model using the largest value.
The final value used for the model was mtry = 15.
plot(rfsmoteFit.y)plot(rfsmoteFit.y$finalModel)densityplot(rfsmoteFit.y,pch='|')predict(rfsmoteFit.y,type = 'prob') -> train.rfsmoteFit.Probs
histogram(~Survived+Dead,train.rfsmoteFit.Probs)ctrl <- trainControl(method = "repeatedcv",
repeats = 5,
verboseIter = T,
classProbs = TRUE,
summaryFunction = twoClassSummary,
sampling = 'smote'
)
glmnetGrid <- expand.grid(.alpha = c(0,.1,.2,.4,.6,.8,1),
.lambda = seq(0.01,0.2,length.out = 40))
set.seed(1)
dumV <- dummyVars(formula = Survived~.,data = train.imp)
Dtrain <- predict(dumV,train.imp)variable 'Survived' is not a factor
glmnetFit <- train(
x = Dtrain,
y = train.imp$Survived,
trControl=ctrl,
method='glmnet',
tuneGrid=glmnetGrid
)Loading required package: glmnet
Loading required package: Matrix
package ‘Matrix’ was built under R version 3.4.1
Attaching package: ‘Matrix’
The following object is masked from ‘package:tidyr’:
expand
Loading required package: foreach
foreach: simple, scalable parallel programming from Revolution Analytics
Use Revolution R for scalability, fault tolerance and more.
http://www.revolutionanalytics.com
Attaching package: ‘foreach’
The following objects are masked from ‘package:purrr’:
accumulate, when
Loaded glmnet 2.0-10
The metric "Accuracy" was not in the result set. ROC will be used instead.
+ Fold01.Rep1: alpha=0.0, lambda=0.2
- Fold01.Rep1: alpha=0.0, lambda=0.2
+ Fold01.Rep1: alpha=0.1, lambda=0.2
- Fold01.Rep1: alpha=0.1, lambda=0.2
+ Fold01.Rep1: alpha=0.2, lambda=0.2
- Fold01.Rep1: alpha=0.2, lambda=0.2
+ Fold01.Rep1: alpha=0.4, lambda=0.2
- Fold01.Rep1: alpha=0.4, lambda=0.2
+ Fold01.Rep1: alpha=0.6, lambda=0.2
- Fold01.Rep1: alpha=0.6, lambda=0.2
+ Fold01.Rep1: alpha=0.8, lambda=0.2
- Fold01.Rep1: alpha=0.8, lambda=0.2
+ Fold01.Rep1: alpha=1.0, lambda=0.2
- Fold01.Rep1: alpha=1.0, lambda=0.2
+ Fold02.Rep1: alpha=0.0, lambda=0.2
- Fold02.Rep1: alpha=0.0, lambda=0.2
+ Fold02.Rep1: alpha=0.1, lambda=0.2
- Fold02.Rep1: alpha=0.1, lambda=0.2
+ Fold02.Rep1: alpha=0.2, lambda=0.2
- Fold02.Rep1: alpha=0.2, lambda=0.2
+ Fold02.Rep1: alpha=0.4, lambda=0.2
- Fold02.Rep1: alpha=0.4, lambda=0.2
+ Fold02.Rep1: alpha=0.6, lambda=0.2
- Fold02.Rep1: alpha=0.6, lambda=0.2
+ Fold02.Rep1: alpha=0.8, lambda=0.2
- Fold02.Rep1: alpha=0.8, lambda=0.2
+ Fold02.Rep1: alpha=1.0, lambda=0.2
- Fold02.Rep1: alpha=1.0, lambda=0.2
+ Fold03.Rep1: alpha=0.0, lambda=0.2
- Fold03.Rep1: alpha=0.0, lambda=0.2
+ Fold03.Rep1: alpha=0.1, lambda=0.2
- Fold03.Rep1: alpha=0.1, lambda=0.2
+ Fold03.Rep1: alpha=0.2, lambda=0.2
- Fold03.Rep1: alpha=0.2, lambda=0.2
+ Fold03.Rep1: alpha=0.4, lambda=0.2
- Fold03.Rep1: alpha=0.4, lambda=0.2
+ Fold03.Rep1: alpha=0.6, lambda=0.2
- Fold03.Rep1: alpha=0.6, lambda=0.2
+ Fold03.Rep1: alpha=0.8, lambda=0.2
- Fold03.Rep1: alpha=0.8, lambda=0.2
+ Fold03.Rep1: alpha=1.0, lambda=0.2
- Fold03.Rep1: alpha=1.0, lambda=0.2
+ Fold04.Rep1: alpha=0.0, lambda=0.2
- Fold04.Rep1: alpha=0.0, lambda=0.2
+ Fold04.Rep1: alpha=0.1, lambda=0.2
- Fold04.Rep1: alpha=0.1, lambda=0.2
+ Fold04.Rep1: alpha=0.2, lambda=0.2
- Fold04.Rep1: alpha=0.2, lambda=0.2
+ Fold04.Rep1: alpha=0.4, lambda=0.2
- Fold04.Rep1: alpha=0.4, lambda=0.2
+ Fold04.Rep1: alpha=0.6, lambda=0.2
- Fold04.Rep1: alpha=0.6, lambda=0.2
+ Fold04.Rep1: alpha=0.8, lambda=0.2
- Fold04.Rep1: alpha=0.8, lambda=0.2
+ Fold04.Rep1: alpha=1.0, lambda=0.2
- Fold04.Rep1: alpha=1.0, lambda=0.2
+ Fold05.Rep1: alpha=0.0, lambda=0.2
- Fold05.Rep1: alpha=0.0, lambda=0.2
+ Fold05.Rep1: alpha=0.1, lambda=0.2
- Fold05.Rep1: alpha=0.1, lambda=0.2
+ Fold05.Rep1: alpha=0.2, lambda=0.2
- Fold05.Rep1: alpha=0.2, lambda=0.2
+ Fold05.Rep1: alpha=0.4, lambda=0.2
- Fold05.Rep1: alpha=0.4, lambda=0.2
+ Fold05.Rep1: alpha=0.6, lambda=0.2
- Fold05.Rep1: alpha=0.6, lambda=0.2
+ Fold05.Rep1: alpha=0.8, lambda=0.2
- Fold05.Rep1: alpha=0.8, lambda=0.2
+ Fold05.Rep1: alpha=1.0, lambda=0.2
- Fold05.Rep1: alpha=1.0, lambda=0.2
+ Fold06.Rep1: alpha=0.0, lambda=0.2
- Fold06.Rep1: alpha=0.0, lambda=0.2
+ Fold06.Rep1: alpha=0.1, lambda=0.2
- Fold06.Rep1: alpha=0.1, lambda=0.2
+ Fold06.Rep1: alpha=0.2, lambda=0.2
- Fold06.Rep1: alpha=0.2, lambda=0.2
+ Fold06.Rep1: alpha=0.4, lambda=0.2
- Fold06.Rep1: alpha=0.4, lambda=0.2
+ Fold06.Rep1: alpha=0.6, lambda=0.2
- Fold06.Rep1: alpha=0.6, lambda=0.2
+ Fold06.Rep1: alpha=0.8, lambda=0.2
- Fold06.Rep1: alpha=0.8, lambda=0.2
+ Fold06.Rep1: alpha=1.0, lambda=0.2
- Fold06.Rep1: alpha=1.0, lambda=0.2
+ Fold07.Rep1: alpha=0.0, lambda=0.2
- Fold07.Rep1: alpha=0.0, lambda=0.2
+ Fold07.Rep1: alpha=0.1, lambda=0.2
- Fold07.Rep1: alpha=0.1, lambda=0.2
+ Fold07.Rep1: alpha=0.2, lambda=0.2
- Fold07.Rep1: alpha=0.2, lambda=0.2
+ Fold07.Rep1: alpha=0.4, lambda=0.2
- Fold07.Rep1: alpha=0.4, lambda=0.2
+ Fold07.Rep1: alpha=0.6, lambda=0.2
- Fold07.Rep1: alpha=0.6, lambda=0.2
+ Fold07.Rep1: alpha=0.8, lambda=0.2
- Fold07.Rep1: alpha=0.8, lambda=0.2
+ Fold07.Rep1: alpha=1.0, lambda=0.2
- Fold07.Rep1: alpha=1.0, lambda=0.2
+ Fold08.Rep1: alpha=0.0, lambda=0.2
- Fold08.Rep1: alpha=0.0, lambda=0.2
+ Fold08.Rep1: alpha=0.1, lambda=0.2
- Fold08.Rep1: alpha=0.1, lambda=0.2
+ Fold08.Rep1: alpha=0.2, lambda=0.2
- Fold08.Rep1: alpha=0.2, lambda=0.2
+ Fold08.Rep1: alpha=0.4, lambda=0.2
- Fold08.Rep1: alpha=0.4, lambda=0.2
+ Fold08.Rep1: alpha=0.6, lambda=0.2
- Fold08.Rep1: alpha=0.6, lambda=0.2
+ Fold08.Rep1: alpha=0.8, lambda=0.2
- Fold08.Rep1: alpha=0.8, lambda=0.2
+ Fold08.Rep1: alpha=1.0, lambda=0.2
- Fold08.Rep1: alpha=1.0, lambda=0.2
+ Fold09.Rep1: alpha=0.0, lambda=0.2
- Fold09.Rep1: alpha=0.0, lambda=0.2
+ Fold09.Rep1: alpha=0.1, lambda=0.2
- Fold09.Rep1: alpha=0.1, lambda=0.2
+ Fold09.Rep1: alpha=0.2, lambda=0.2
- Fold09.Rep1: alpha=0.2, lambda=0.2
+ Fold09.Rep1: alpha=0.4, lambda=0.2
- Fold09.Rep1: alpha=0.4, lambda=0.2
+ Fold09.Rep1: alpha=0.6, lambda=0.2
- Fold09.Rep1: alpha=0.6, lambda=0.2
+ Fold09.Rep1: alpha=0.8, lambda=0.2
- Fold09.Rep1: alpha=0.8, lambda=0.2
+ Fold09.Rep1: alpha=1.0, lambda=0.2
- Fold09.Rep1: alpha=1.0, lambda=0.2
+ Fold10.Rep1: alpha=0.0, lambda=0.2
- Fold10.Rep1: alpha=0.0, lambda=0.2
+ Fold10.Rep1: alpha=0.1, lambda=0.2
- Fold10.Rep1: alpha=0.1, lambda=0.2
+ Fold10.Rep1: alpha=0.2, lambda=0.2
- Fold10.Rep1: alpha=0.2, lambda=0.2
+ Fold10.Rep1: alpha=0.4, lambda=0.2
- Fold10.Rep1: alpha=0.4, lambda=0.2
+ Fold10.Rep1: alpha=0.6, lambda=0.2
- Fold10.Rep1: alpha=0.6, lambda=0.2
+ Fold10.Rep1: alpha=0.8, lambda=0.2
- Fold10.Rep1: alpha=0.8, lambda=0.2
+ Fold10.Rep1: alpha=1.0, lambda=0.2
- Fold10.Rep1: alpha=1.0, lambda=0.2
+ Fold01.Rep2: alpha=0.0, lambda=0.2
- Fold01.Rep2: alpha=0.0, lambda=0.2
+ Fold01.Rep2: alpha=0.1, lambda=0.2
- Fold01.Rep2: alpha=0.1, lambda=0.2
+ Fold01.Rep2: alpha=0.2, lambda=0.2
- Fold01.Rep2: alpha=0.2, lambda=0.2
+ Fold01.Rep2: alpha=0.4, lambda=0.2
- Fold01.Rep2: alpha=0.4, lambda=0.2
+ Fold01.Rep2: alpha=0.6, lambda=0.2
- Fold01.Rep2: alpha=0.6, lambda=0.2
+ Fold01.Rep2: alpha=0.8, lambda=0.2
- Fold01.Rep2: alpha=0.8, lambda=0.2
+ Fold01.Rep2: alpha=1.0, lambda=0.2
- Fold01.Rep2: alpha=1.0, lambda=0.2
+ Fold02.Rep2: alpha=0.0, lambda=0.2
- Fold02.Rep2: alpha=0.0, lambda=0.2
+ Fold02.Rep2: alpha=0.1, lambda=0.2
- Fold02.Rep2: alpha=0.1, lambda=0.2
+ Fold02.Rep2: alpha=0.2, lambda=0.2
- Fold02.Rep2: alpha=0.2, lambda=0.2
+ Fold02.Rep2: alpha=0.4, lambda=0.2
- Fold02.Rep2: alpha=0.4, lambda=0.2
+ Fold02.Rep2: alpha=0.6, lambda=0.2
- Fold02.Rep2: alpha=0.6, lambda=0.2
+ Fold02.Rep2: alpha=0.8, lambda=0.2
- Fold02.Rep2: alpha=0.8, lambda=0.2
+ Fold02.Rep2: alpha=1.0, lambda=0.2
- Fold02.Rep2: alpha=1.0, lambda=0.2
+ Fold03.Rep2: alpha=0.0, lambda=0.2
- Fold03.Rep2: alpha=0.0, lambda=0.2
+ Fold03.Rep2: alpha=0.1, lambda=0.2
- Fold03.Rep2: alpha=0.1, lambda=0.2
+ Fold03.Rep2: alpha=0.2, lambda=0.2
- Fold03.Rep2: alpha=0.2, lambda=0.2
+ Fold03.Rep2: alpha=0.4, lambda=0.2
- Fold03.Rep2: alpha=0.4, lambda=0.2
+ Fold03.Rep2: alpha=0.6, lambda=0.2
- Fold03.Rep2: alpha=0.6, lambda=0.2
+ Fold03.Rep2: alpha=0.8, lambda=0.2
- Fold03.Rep2: alpha=0.8, lambda=0.2
+ Fold03.Rep2: alpha=1.0, lambda=0.2
- Fold03.Rep2: alpha=1.0, lambda=0.2
+ Fold04.Rep2: alpha=0.0, lambda=0.2
- Fold04.Rep2: alpha=0.0, lambda=0.2
+ Fold04.Rep2: alpha=0.1, lambda=0.2
- Fold04.Rep2: alpha=0.1, lambda=0.2
+ Fold04.Rep2: alpha=0.2, lambda=0.2
- Fold04.Rep2: alpha=0.2, lambda=0.2
+ Fold04.Rep2: alpha=0.4, lambda=0.2
- Fold04.Rep2: alpha=0.4, lambda=0.2
+ Fold04.Rep2: alpha=0.6, lambda=0.2
- Fold04.Rep2: alpha=0.6, lambda=0.2
+ Fold04.Rep2: alpha=0.8, lambda=0.2
- Fold04.Rep2: alpha=0.8, lambda=0.2
+ Fold04.Rep2: alpha=1.0, lambda=0.2
- Fold04.Rep2: alpha=1.0, lambda=0.2
+ Fold05.Rep2: alpha=0.0, lambda=0.2
- Fold05.Rep2: alpha=0.0, lambda=0.2
+ Fold05.Rep2: alpha=0.1, lambda=0.2
- Fold05.Rep2: alpha=0.1, lambda=0.2
+ Fold05.Rep2: alpha=0.2, lambda=0.2
- Fold05.Rep2: alpha=0.2, lambda=0.2
+ Fold05.Rep2: alpha=0.4, lambda=0.2
- Fold05.Rep2: alpha=0.4, lambda=0.2
+ Fold05.Rep2: alpha=0.6, lambda=0.2
- Fold05.Rep2: alpha=0.6, lambda=0.2
+ Fold05.Rep2: alpha=0.8, lambda=0.2
- Fold05.Rep2: alpha=0.8, lambda=0.2
+ Fold05.Rep2: alpha=1.0, lambda=0.2
- Fold05.Rep2: alpha=1.0, lambda=0.2
+ Fold06.Rep2: alpha=0.0, lambda=0.2
- Fold06.Rep2: alpha=0.0, lambda=0.2
+ Fold06.Rep2: alpha=0.1, lambda=0.2
- Fold06.Rep2: alpha=0.1, lambda=0.2
+ Fold06.Rep2: alpha=0.2, lambda=0.2
- Fold06.Rep2: alpha=0.2, lambda=0.2
+ Fold06.Rep2: alpha=0.4, lambda=0.2
- Fold06.Rep2: alpha=0.4, lambda=0.2
+ Fold06.Rep2: alpha=0.6, lambda=0.2
- Fold06.Rep2: alpha=0.6, lambda=0.2
+ Fold06.Rep2: alpha=0.8, lambda=0.2
- Fold06.Rep2: alpha=0.8, lambda=0.2
+ Fold06.Rep2: alpha=1.0, lambda=0.2
- Fold06.Rep2: alpha=1.0, lambda=0.2
+ Fold07.Rep2: alpha=0.0, lambda=0.2
- Fold07.Rep2: alpha=0.0, lambda=0.2
+ Fold07.Rep2: alpha=0.1, lambda=0.2
- Fold07.Rep2: alpha=0.1, lambda=0.2
+ Fold07.Rep2: alpha=0.2, lambda=0.2
- Fold07.Rep2: alpha=0.2, lambda=0.2
+ Fold07.Rep2: alpha=0.4, lambda=0.2
- Fold07.Rep2: alpha=0.4, lambda=0.2
+ Fold07.Rep2: alpha=0.6, lambda=0.2
- Fold07.Rep2: alpha=0.6, lambda=0.2
+ Fold07.Rep2: alpha=0.8, lambda=0.2
- Fold07.Rep2: alpha=0.8, lambda=0.2
+ Fold07.Rep2: alpha=1.0, lambda=0.2
- Fold07.Rep2: alpha=1.0, lambda=0.2
+ Fold08.Rep2: alpha=0.0, lambda=0.2
- Fold08.Rep2: alpha=0.0, lambda=0.2
+ Fold08.Rep2: alpha=0.1, lambda=0.2
- Fold08.Rep2: alpha=0.1, lambda=0.2
+ Fold08.Rep2: alpha=0.2, lambda=0.2
- Fold08.Rep2: alpha=0.2, lambda=0.2
+ Fold08.Rep2: alpha=0.4, lambda=0.2
- Fold08.Rep2: alpha=0.4, lambda=0.2
+ Fold08.Rep2: alpha=0.6, lambda=0.2
- Fold08.Rep2: alpha=0.6, lambda=0.2
+ Fold08.Rep2: alpha=0.8, lambda=0.2
- Fold08.Rep2: alpha=0.8, lambda=0.2
+ Fold08.Rep2: alpha=1.0, lambda=0.2
- Fold08.Rep2: alpha=1.0, lambda=0.2
+ Fold09.Rep2: alpha=0.0, lambda=0.2
- Fold09.Rep2: alpha=0.0, lambda=0.2
+ Fold09.Rep2: alpha=0.1, lambda=0.2
- Fold09.Rep2: alpha=0.1, lambda=0.2
+ Fold09.Rep2: alpha=0.2, lambda=0.2
- Fold09.Rep2: alpha=0.2, lambda=0.2
+ Fold09.Rep2: alpha=0.4, lambda=0.2
- Fold09.Rep2: alpha=0.4, lambda=0.2
+ Fold09.Rep2: alpha=0.6, lambda=0.2
- Fold09.Rep2: alpha=0.6, lambda=0.2
+ Fold09.Rep2: alpha=0.8, lambda=0.2
- Fold09.Rep2: alpha=0.8, lambda=0.2
+ Fold09.Rep2: alpha=1.0, lambda=0.2
- Fold09.Rep2: alpha=1.0, lambda=0.2
+ Fold10.Rep2: alpha=0.0, lambda=0.2
- Fold10.Rep2: alpha=0.0, lambda=0.2
+ Fold10.Rep2: alpha=0.1, lambda=0.2
- Fold10.Rep2: alpha=0.1, lambda=0.2
+ Fold10.Rep2: alpha=0.2, lambda=0.2
- Fold10.Rep2: alpha=0.2, lambda=0.2
+ Fold10.Rep2: alpha=0.4, lambda=0.2
- Fold10.Rep2: alpha=0.4, lambda=0.2
+ Fold10.Rep2: alpha=0.6, lambda=0.2
- Fold10.Rep2: alpha=0.6, lambda=0.2
+ Fold10.Rep2: alpha=0.8, lambda=0.2
- Fold10.Rep2: alpha=0.8, lambda=0.2
+ Fold10.Rep2: alpha=1.0, lambda=0.2
- Fold10.Rep2: alpha=1.0, lambda=0.2
+ Fold01.Rep3: alpha=0.0, lambda=0.2
- Fold01.Rep3: alpha=0.0, lambda=0.2
+ Fold01.Rep3: alpha=0.1, lambda=0.2
- Fold01.Rep3: alpha=0.1, lambda=0.2
+ Fold01.Rep3: alpha=0.2, lambda=0.2
- Fold01.Rep3: alpha=0.2, lambda=0.2
+ Fold01.Rep3: alpha=0.4, lambda=0.2
- Fold01.Rep3: alpha=0.4, lambda=0.2
+ Fold01.Rep3: alpha=0.6, lambda=0.2
- Fold01.Rep3: alpha=0.6, lambda=0.2
+ Fold01.Rep3: alpha=0.8, lambda=0.2
- Fold01.Rep3: alpha=0.8, lambda=0.2
+ Fold01.Rep3: alpha=1.0, lambda=0.2
- Fold01.Rep3: alpha=1.0, lambda=0.2
+ Fold02.Rep3: alpha=0.0, lambda=0.2
- Fold02.Rep3: alpha=0.0, lambda=0.2
+ Fold02.Rep3: alpha=0.1, lambda=0.2
- Fold02.Rep3: alpha=0.1, lambda=0.2
+ Fold02.Rep3: alpha=0.2, lambda=0.2
- Fold02.Rep3: alpha=0.2, lambda=0.2
+ Fold02.Rep3: alpha=0.4, lambda=0.2
- Fold02.Rep3: alpha=0.4, lambda=0.2
+ Fold02.Rep3: alpha=0.6, lambda=0.2
- Fold02.Rep3: alpha=0.6, lambda=0.2
+ Fold02.Rep3: alpha=0.8, lambda=0.2
- Fold02.Rep3: alpha=0.8, lambda=0.2
+ Fold02.Rep3: alpha=1.0, lambda=0.2
- Fold02.Rep3: alpha=1.0, lambda=0.2
+ Fold03.Rep3: alpha=0.0, lambda=0.2
- Fold03.Rep3: alpha=0.0, lambda=0.2
+ Fold03.Rep3: alpha=0.1, lambda=0.2
- Fold03.Rep3: alpha=0.1, lambda=0.2
+ Fold03.Rep3: alpha=0.2, lambda=0.2
- Fold03.Rep3: alpha=0.2, lambda=0.2
+ Fold03.Rep3: alpha=0.4, lambda=0.2
- Fold03.Rep3: alpha=0.4, lambda=0.2
+ Fold03.Rep3: alpha=0.6, lambda=0.2
- Fold03.Rep3: alpha=0.6, lambda=0.2
+ Fold03.Rep3: alpha=0.8, lambda=0.2
- Fold03.Rep3: alpha=0.8, lambda=0.2
+ Fold03.Rep3: alpha=1.0, lambda=0.2
- Fold03.Rep3: alpha=1.0, lambda=0.2
+ Fold04.Rep3: alpha=0.0, lambda=0.2
- Fold04.Rep3: alpha=0.0, lambda=0.2
+ Fold04.Rep3: alpha=0.1, lambda=0.2
- Fold04.Rep3: alpha=0.1, lambda=0.2
+ Fold04.Rep3: alpha=0.2, lambda=0.2
- Fold04.Rep3: alpha=0.2, lambda=0.2
+ Fold04.Rep3: alpha=0.4, lambda=0.2
- Fold04.Rep3: alpha=0.4, lambda=0.2
+ Fold04.Rep3: alpha=0.6, lambda=0.2
- Fold04.Rep3: alpha=0.6, lambda=0.2
+ Fold04.Rep3: alpha=0.8, lambda=0.2
- Fold04.Rep3: alpha=0.8, lambda=0.2
+ Fold04.Rep3: alpha=1.0, lambda=0.2
- Fold04.Rep3: alpha=1.0, lambda=0.2
+ Fold05.Rep3: alpha=0.0, lambda=0.2
- Fold05.Rep3: alpha=0.0, lambda=0.2
+ Fold05.Rep3: alpha=0.1, lambda=0.2
- Fold05.Rep3: alpha=0.1, lambda=0.2
+ Fold05.Rep3: alpha=0.2, lambda=0.2
- Fold05.Rep3: alpha=0.2, lambda=0.2
+ Fold05.Rep3: alpha=0.4, lambda=0.2
- Fold05.Rep3: alpha=0.4, lambda=0.2
+ Fold05.Rep3: alpha=0.6, lambda=0.2
- Fold05.Rep3: alpha=0.6, lambda=0.2
+ Fold05.Rep3: alpha=0.8, lambda=0.2
- Fold05.Rep3: alpha=0.8, lambda=0.2
+ Fold05.Rep3: alpha=1.0, lambda=0.2
- Fold05.Rep3: alpha=1.0, lambda=0.2
+ Fold06.Rep3: alpha=0.0, lambda=0.2
- Fold06.Rep3: alpha=0.0, lambda=0.2
+ Fold06.Rep3: alpha=0.1, lambda=0.2
- Fold06.Rep3: alpha=0.1, lambda=0.2
+ Fold06.Rep3: alpha=0.2, lambda=0.2
- Fold06.Rep3: alpha=0.2, lambda=0.2
+ Fold06.Rep3: alpha=0.4, lambda=0.2
- Fold06.Rep3: alpha=0.4, lambda=0.2
+ Fold06.Rep3: alpha=0.6, lambda=0.2
- Fold06.Rep3: alpha=0.6, lambda=0.2
+ Fold06.Rep3: alpha=0.8, lambda=0.2
- Fold06.Rep3: alpha=0.8, lambda=0.2
+ Fold06.Rep3: alpha=1.0, lambda=0.2
- Fold06.Rep3: alpha=1.0, lambda=0.2
+ Fold07.Rep3: alpha=0.0, lambda=0.2
- Fold07.Rep3: alpha=0.0, lambda=0.2
+ Fold07.Rep3: alpha=0.1, lambda=0.2
- Fold07.Rep3: alpha=0.1, lambda=0.2
+ Fold07.Rep3: alpha=0.2, lambda=0.2
- Fold07.Rep3: alpha=0.2, lambda=0.2
+ Fold07.Rep3: alpha=0.4, lambda=0.2
- Fold07.Rep3: alpha=0.4, lambda=0.2
+ Fold07.Rep3: alpha=0.6, lambda=0.2
- Fold07.Rep3: alpha=0.6, lambda=0.2
+ Fold07.Rep3: alpha=0.8, lambda=0.2
- Fold07.Rep3: alpha=0.8, lambda=0.2
+ Fold07.Rep3: alpha=1.0, lambda=0.2
- Fold07.Rep3: alpha=1.0, lambda=0.2
+ Fold08.Rep3: alpha=0.0, lambda=0.2
- Fold08.Rep3: alpha=0.0, lambda=0.2
+ Fold08.Rep3: alpha=0.1, lambda=0.2
- Fold08.Rep3: alpha=0.1, lambda=0.2
+ Fold08.Rep3: alpha=0.2, lambda=0.2
- Fold08.Rep3: alpha=0.2, lambda=0.2
+ Fold08.Rep3: alpha=0.4, lambda=0.2
- Fold08.Rep3: alpha=0.4, lambda=0.2
+ Fold08.Rep3: alpha=0.6, lambda=0.2
- Fold08.Rep3: alpha=0.6, lambda=0.2
+ Fold08.Rep3: alpha=0.8, lambda=0.2
- Fold08.Rep3: alpha=0.8, lambda=0.2
+ Fold08.Rep3: alpha=1.0, lambda=0.2
- Fold08.Rep3: alpha=1.0, lambda=0.2
+ Fold09.Rep3: alpha=0.0, lambda=0.2
- Fold09.Rep3: alpha=0.0, lambda=0.2
+ Fold09.Rep3: alpha=0.1, lambda=0.2
- Fold09.Rep3: alpha=0.1, lambda=0.2
+ Fold09.Rep3: alpha=0.2, lambda=0.2
- Fold09.Rep3: alpha=0.2, lambda=0.2
+ Fold09.Rep3: alpha=0.4, lambda=0.2
- Fold09.Rep3: alpha=0.4, lambda=0.2
+ Fold09.Rep3: alpha=0.6, lambda=0.2
- Fold09.Rep3: alpha=0.6, lambda=0.2
+ Fold09.Rep3: alpha=0.8, lambda=0.2
- Fold09.Rep3: alpha=0.8, lambda=0.2
+ Fold09.Rep3: alpha=1.0, lambda=0.2
- Fold09.Rep3: alpha=1.0, lambda=0.2
+ Fold10.Rep3: alpha=0.0, lambda=0.2
- Fold10.Rep3: alpha=0.0, lambda=0.2
+ Fold10.Rep3: alpha=0.1, lambda=0.2
- Fold10.Rep3: alpha=0.1, lambda=0.2
+ Fold10.Rep3: alpha=0.2, lambda=0.2
- Fold10.Rep3: alpha=0.2, lambda=0.2
+ Fold10.Rep3: alpha=0.4, lambda=0.2
- Fold10.Rep3: alpha=0.4, lambda=0.2
+ Fold10.Rep3: alpha=0.6, lambda=0.2
- Fold10.Rep3: alpha=0.6, lambda=0.2
+ Fold10.Rep3: alpha=0.8, lambda=0.2
- Fold10.Rep3: alpha=0.8, lambda=0.2
+ Fold10.Rep3: alpha=1.0, lambda=0.2
- Fold10.Rep3: alpha=1.0, lambda=0.2
+ Fold01.Rep4: alpha=0.0, lambda=0.2
- Fold01.Rep4: alpha=0.0, lambda=0.2
+ Fold01.Rep4: alpha=0.1, lambda=0.2
- Fold01.Rep4: alpha=0.1, lambda=0.2
+ Fold01.Rep4: alpha=0.2, lambda=0.2
- Fold01.Rep4: alpha=0.2, lambda=0.2
+ Fold01.Rep4: alpha=0.4, lambda=0.2
- Fold01.Rep4: alpha=0.4, lambda=0.2
+ Fold01.Rep4: alpha=0.6, lambda=0.2
- Fold01.Rep4: alpha=0.6, lambda=0.2
+ Fold01.Rep4: alpha=0.8, lambda=0.2
- Fold01.Rep4: alpha=0.8, lambda=0.2
+ Fold01.Rep4: alpha=1.0, lambda=0.2
- Fold01.Rep4: alpha=1.0, lambda=0.2
+ Fold02.Rep4: alpha=0.0, lambda=0.2
- Fold02.Rep4: alpha=0.0, lambda=0.2
+ Fold02.Rep4: alpha=0.1, lambda=0.2
- Fold02.Rep4: alpha=0.1, lambda=0.2
+ Fold02.Rep4: alpha=0.2, lambda=0.2
- Fold02.Rep4: alpha=0.2, lambda=0.2
+ Fold02.Rep4: alpha=0.4, lambda=0.2
- Fold02.Rep4: alpha=0.4, lambda=0.2
+ Fold02.Rep4: alpha=0.6, lambda=0.2
- Fold02.Rep4: alpha=0.6, lambda=0.2
+ Fold02.Rep4: alpha=0.8, lambda=0.2
- Fold02.Rep4: alpha=0.8, lambda=0.2
+ Fold02.Rep4: alpha=1.0, lambda=0.2
- Fold02.Rep4: alpha=1.0, lambda=0.2
+ Fold03.Rep4: alpha=0.0, lambda=0.2
- Fold03.Rep4: alpha=0.0, lambda=0.2
+ Fold03.Rep4: alpha=0.1, lambda=0.2
- Fold03.Rep4: alpha=0.1, lambda=0.2
+ Fold03.Rep4: alpha=0.2, lambda=0.2
- Fold03.Rep4: alpha=0.2, lambda=0.2
+ Fold03.Rep4: alpha=0.4, lambda=0.2
- Fold03.Rep4: alpha=0.4, lambda=0.2
+ Fold03.Rep4: alpha=0.6, lambda=0.2
- Fold03.Rep4: alpha=0.6, lambda=0.2
+ Fold03.Rep4: alpha=0.8, lambda=0.2
- Fold03.Rep4: alpha=0.8, lambda=0.2
+ Fold03.Rep4: alpha=1.0, lambda=0.2
- Fold03.Rep4: alpha=1.0, lambda=0.2
+ Fold04.Rep4: alpha=0.0, lambda=0.2
- Fold04.Rep4: alpha=0.0, lambda=0.2
+ Fold04.Rep4: alpha=0.1, lambda=0.2
- Fold04.Rep4: alpha=0.1, lambda=0.2
+ Fold04.Rep4: alpha=0.2, lambda=0.2
- Fold04.Rep4: alpha=0.2, lambda=0.2
+ Fold04.Rep4: alpha=0.4, lambda=0.2
- Fold04.Rep4: alpha=0.4, lambda=0.2
+ Fold04.Rep4: alpha=0.6, lambda=0.2
- Fold04.Rep4: alpha=0.6, lambda=0.2
+ Fold04.Rep4: alpha=0.8, lambda=0.2
- Fold04.Rep4: alpha=0.8, lambda=0.2
+ Fold04.Rep4: alpha=1.0, lambda=0.2
- Fold04.Rep4: alpha=1.0, lambda=0.2
+ Fold05.Rep4: alpha=0.0, lambda=0.2
- Fold05.Rep4: alpha=0.0, lambda=0.2
+ Fold05.Rep4: alpha=0.1, lambda=0.2
- Fold05.Rep4: alpha=0.1, lambda=0.2
+ Fold05.Rep4: alpha=0.2, lambda=0.2
- Fold05.Rep4: alpha=0.2, lambda=0.2
+ Fold05.Rep4: alpha=0.4, lambda=0.2
- Fold05.Rep4: alpha=0.4, lambda=0.2
+ Fold05.Rep4: alpha=0.6, lambda=0.2
- Fold05.Rep4: alpha=0.6, lambda=0.2
+ Fold05.Rep4: alpha=0.8, lambda=0.2
- Fold05.Rep4: alpha=0.8, lambda=0.2
+ Fold05.Rep4: alpha=1.0, lambda=0.2
- Fold05.Rep4: alpha=1.0, lambda=0.2
+ Fold06.Rep4: alpha=0.0, lambda=0.2
- Fold06.Rep4: alpha=0.0, lambda=0.2
+ Fold06.Rep4: alpha=0.1, lambda=0.2
- Fold06.Rep4: alpha=0.1, lambda=0.2
+ Fold06.Rep4: alpha=0.2, lambda=0.2
- Fold06.Rep4: alpha=0.2, lambda=0.2
+ Fold06.Rep4: alpha=0.4, lambda=0.2
- Fold06.Rep4: alpha=0.4, lambda=0.2
+ Fold06.Rep4: alpha=0.6, lambda=0.2
- Fold06.Rep4: alpha=0.6, lambda=0.2
+ Fold06.Rep4: alpha=0.8, lambda=0.2
- Fold06.Rep4: alpha=0.8, lambda=0.2
+ Fold06.Rep4: alpha=1.0, lambda=0.2
- Fold06.Rep4: alpha=1.0, lambda=0.2
+ Fold07.Rep4: alpha=0.0, lambda=0.2
- Fold07.Rep4: alpha=0.0, lambda=0.2
+ Fold07.Rep4: alpha=0.1, lambda=0.2
- Fold07.Rep4: alpha=0.1, lambda=0.2
+ Fold07.Rep4: alpha=0.2, lambda=0.2
- Fold07.Rep4: alpha=0.2, lambda=0.2
+ Fold07.Rep4: alpha=0.4, lambda=0.2
- Fold07.Rep4: alpha=0.4, lambda=0.2
+ Fold07.Rep4: alpha=0.6, lambda=0.2
- Fold07.Rep4: alpha=0.6, lambda=0.2
+ Fold07.Rep4: alpha=0.8, lambda=0.2
- Fold07.Rep4: alpha=0.8, lambda=0.2
+ Fold07.Rep4: alpha=1.0, lambda=0.2
- Fold07.Rep4: alpha=1.0, lambda=0.2
+ Fold08.Rep4: alpha=0.0, lambda=0.2
- Fold08.Rep4: alpha=0.0, lambda=0.2
+ Fold08.Rep4: alpha=0.1, lambda=0.2
- Fold08.Rep4: alpha=0.1, lambda=0.2
+ Fold08.Rep4: alpha=0.2, lambda=0.2
- Fold08.Rep4: alpha=0.2, lambda=0.2
+ Fold08.Rep4: alpha=0.4, lambda=0.2
- Fold08.Rep4: alpha=0.4, lambda=0.2
+ Fold08.Rep4: alpha=0.6, lambda=0.2
- Fold08.Rep4: alpha=0.6, lambda=0.2
+ Fold08.Rep4: alpha=0.8, lambda=0.2
- Fold08.Rep4: alpha=0.8, lambda=0.2
+ Fold08.Rep4: alpha=1.0, lambda=0.2
- Fold08.Rep4: alpha=1.0, lambda=0.2
+ Fold09.Rep4: alpha=0.0, lambda=0.2
- Fold09.Rep4: alpha=0.0, lambda=0.2
+ Fold09.Rep4: alpha=0.1, lambda=0.2
- Fold09.Rep4: alpha=0.1, lambda=0.2
+ Fold09.Rep4: alpha=0.2, lambda=0.2
- Fold09.Rep4: alpha=0.2, lambda=0.2
+ Fold09.Rep4: alpha=0.4, lambda=0.2
- Fold09.Rep4: alpha=0.4, lambda=0.2
+ Fold09.Rep4: alpha=0.6, lambda=0.2
- Fold09.Rep4: alpha=0.6, lambda=0.2
+ Fold09.Rep4: alpha=0.8, lambda=0.2
- Fold09.Rep4: alpha=0.8, lambda=0.2
+ Fold09.Rep4: alpha=1.0, lambda=0.2
- Fold09.Rep4: alpha=1.0, lambda=0.2
+ Fold10.Rep4: alpha=0.0, lambda=0.2
- Fold10.Rep4: alpha=0.0, lambda=0.2
+ Fold10.Rep4: alpha=0.1, lambda=0.2
- Fold10.Rep4: alpha=0.1, lambda=0.2
+ Fold10.Rep4: alpha=0.2, lambda=0.2
- Fold10.Rep4: alpha=0.2, lambda=0.2
+ Fold10.Rep4: alpha=0.4, lambda=0.2
- Fold10.Rep4: alpha=0.4, lambda=0.2
+ Fold10.Rep4: alpha=0.6, lambda=0.2
- Fold10.Rep4: alpha=0.6, lambda=0.2
+ Fold10.Rep4: alpha=0.8, lambda=0.2
- Fold10.Rep4: alpha=0.8, lambda=0.2
+ Fold10.Rep4: alpha=1.0, lambda=0.2
- Fold10.Rep4: alpha=1.0, lambda=0.2
+ Fold01.Rep5: alpha=0.0, lambda=0.2
- Fold01.Rep5: alpha=0.0, lambda=0.2
+ Fold01.Rep5: alpha=0.1, lambda=0.2
- Fold01.Rep5: alpha=0.1, lambda=0.2
+ Fold01.Rep5: alpha=0.2, lambda=0.2
- Fold01.Rep5: alpha=0.2, lambda=0.2
+ Fold01.Rep5: alpha=0.4, lambda=0.2
- Fold01.Rep5: alpha=0.4, lambda=0.2
+ Fold01.Rep5: alpha=0.6, lambda=0.2
- Fold01.Rep5: alpha=0.6, lambda=0.2
+ Fold01.Rep5: alpha=0.8, lambda=0.2
- Fold01.Rep5: alpha=0.8, lambda=0.2
+ Fold01.Rep5: alpha=1.0, lambda=0.2
- Fold01.Rep5: alpha=1.0, lambda=0.2
+ Fold02.Rep5: alpha=0.0, lambda=0.2
- Fold02.Rep5: alpha=0.0, lambda=0.2
+ Fold02.Rep5: alpha=0.1, lambda=0.2
- Fold02.Rep5: alpha=0.1, lambda=0.2
+ Fold02.Rep5: alpha=0.2, lambda=0.2
- Fold02.Rep5: alpha=0.2, lambda=0.2
+ Fold02.Rep5: alpha=0.4, lambda=0.2
- Fold02.Rep5: alpha=0.4, lambda=0.2
+ Fold02.Rep5: alpha=0.6, lambda=0.2
- Fold02.Rep5: alpha=0.6, lambda=0.2
+ Fold02.Rep5: alpha=0.8, lambda=0.2
- Fold02.Rep5: alpha=0.8, lambda=0.2
+ Fold02.Rep5: alpha=1.0, lambda=0.2
- Fold02.Rep5: alpha=1.0, lambda=0.2
+ Fold03.Rep5: alpha=0.0, lambda=0.2
- Fold03.Rep5: alpha=0.0, lambda=0.2
+ Fold03.Rep5: alpha=0.1, lambda=0.2
- Fold03.Rep5: alpha=0.1, lambda=0.2
+ Fold03.Rep5: alpha=0.2, lambda=0.2
- Fold03.Rep5: alpha=0.2, lambda=0.2
+ Fold03.Rep5: alpha=0.4, lambda=0.2
- Fold03.Rep5: alpha=0.4, lambda=0.2
+ Fold03.Rep5: alpha=0.6, lambda=0.2
- Fold03.Rep5: alpha=0.6, lambda=0.2
+ Fold03.Rep5: alpha=0.8, lambda=0.2
- Fold03.Rep5: alpha=0.8, lambda=0.2
+ Fold03.Rep5: alpha=1.0, lambda=0.2
- Fold03.Rep5: alpha=1.0, lambda=0.2
+ Fold04.Rep5: alpha=0.0, lambda=0.2
- Fold04.Rep5: alpha=0.0, lambda=0.2
+ Fold04.Rep5: alpha=0.1, lambda=0.2
- Fold04.Rep5: alpha=0.1, lambda=0.2
+ Fold04.Rep5: alpha=0.2, lambda=0.2
- Fold04.Rep5: alpha=0.2, lambda=0.2
+ Fold04.Rep5: alpha=0.4, lambda=0.2
- Fold04.Rep5: alpha=0.4, lambda=0.2
+ Fold04.Rep5: alpha=0.6, lambda=0.2
- Fold04.Rep5: alpha=0.6, lambda=0.2
+ Fold04.Rep5: alpha=0.8, lambda=0.2
- Fold04.Rep5: alpha=0.8, lambda=0.2
+ Fold04.Rep5: alpha=1.0, lambda=0.2
- Fold04.Rep5: alpha=1.0, lambda=0.2
+ Fold05.Rep5: alpha=0.0, lambda=0.2
- Fold05.Rep5: alpha=0.0, lambda=0.2
+ Fold05.Rep5: alpha=0.1, lambda=0.2
- Fold05.Rep5: alpha=0.1, lambda=0.2
+ Fold05.Rep5: alpha=0.2, lambda=0.2
- Fold05.Rep5: alpha=0.2, lambda=0.2
+ Fold05.Rep5: alpha=0.4, lambda=0.2
- Fold05.Rep5: alpha=0.4, lambda=0.2
+ Fold05.Rep5: alpha=0.6, lambda=0.2
- Fold05.Rep5: alpha=0.6, lambda=0.2
+ Fold05.Rep5: alpha=0.8, lambda=0.2
- Fold05.Rep5: alpha=0.8, lambda=0.2
+ Fold05.Rep5: alpha=1.0, lambda=0.2
- Fold05.Rep5: alpha=1.0, lambda=0.2
+ Fold06.Rep5: alpha=0.0, lambda=0.2
- Fold06.Rep5: alpha=0.0, lambda=0.2
+ Fold06.Rep5: alpha=0.1, lambda=0.2
- Fold06.Rep5: alpha=0.1, lambda=0.2
+ Fold06.Rep5: alpha=0.2, lambda=0.2
- Fold06.Rep5: alpha=0.2, lambda=0.2
+ Fold06.Rep5: alpha=0.4, lambda=0.2
- Fold06.Rep5: alpha=0.4, lambda=0.2
+ Fold06.Rep5: alpha=0.6, lambda=0.2
- Fold06.Rep5: alpha=0.6, lambda=0.2
+ Fold06.Rep5: alpha=0.8, lambda=0.2
- Fold06.Rep5: alpha=0.8, lambda=0.2
+ Fold06.Rep5: alpha=1.0, lambda=0.2
- Fold06.Rep5: alpha=1.0, lambda=0.2
+ Fold07.Rep5: alpha=0.0, lambda=0.2
- Fold07.Rep5: alpha=0.0, lambda=0.2
+ Fold07.Rep5: alpha=0.1, lambda=0.2
- Fold07.Rep5: alpha=0.1, lambda=0.2
+ Fold07.Rep5: alpha=0.2, lambda=0.2
- Fold07.Rep5: alpha=0.2, lambda=0.2
+ Fold07.Rep5: alpha=0.4, lambda=0.2
- Fold07.Rep5: alpha=0.4, lambda=0.2
+ Fold07.Rep5: alpha=0.6, lambda=0.2
- Fold07.Rep5: alpha=0.6, lambda=0.2
+ Fold07.Rep5: alpha=0.8, lambda=0.2
- Fold07.Rep5: alpha=0.8, lambda=0.2
+ Fold07.Rep5: alpha=1.0, lambda=0.2
- Fold07.Rep5: alpha=1.0, lambda=0.2
+ Fold08.Rep5: alpha=0.0, lambda=0.2
- Fold08.Rep5: alpha=0.0, lambda=0.2
+ Fold08.Rep5: alpha=0.1, lambda=0.2
- Fold08.Rep5: alpha=0.1, lambda=0.2
+ Fold08.Rep5: alpha=0.2, lambda=0.2
- Fold08.Rep5: alpha=0.2, lambda=0.2
+ Fold08.Rep5: alpha=0.4, lambda=0.2
- Fold08.Rep5: alpha=0.4, lambda=0.2
+ Fold08.Rep5: alpha=0.6, lambda=0.2
- Fold08.Rep5: alpha=0.6, lambda=0.2
+ Fold08.Rep5: alpha=0.8, lambda=0.2
- Fold08.Rep5: alpha=0.8, lambda=0.2
+ Fold08.Rep5: alpha=1.0, lambda=0.2
- Fold08.Rep5: alpha=1.0, lambda=0.2
+ Fold09.Rep5: alpha=0.0, lambda=0.2
- Fold09.Rep5: alpha=0.0, lambda=0.2
+ Fold09.Rep5: alpha=0.1, lambda=0.2
- Fold09.Rep5: alpha=0.1, lambda=0.2
+ Fold09.Rep5: alpha=0.2, lambda=0.2
- Fold09.Rep5: alpha=0.2, lambda=0.2
+ Fold09.Rep5: alpha=0.4, lambda=0.2
- Fold09.Rep5: alpha=0.4, lambda=0.2
+ Fold09.Rep5: alpha=0.6, lambda=0.2
- Fold09.Rep5: alpha=0.6, lambda=0.2
+ Fold09.Rep5: alpha=0.8, lambda=0.2
- Fold09.Rep5: alpha=0.8, lambda=0.2
+ Fold09.Rep5: alpha=1.0, lambda=0.2
- Fold09.Rep5: alpha=1.0, lambda=0.2
+ Fold10.Rep5: alpha=0.0, lambda=0.2
- Fold10.Rep5: alpha=0.0, lambda=0.2
+ Fold10.Rep5: alpha=0.1, lambda=0.2
- Fold10.Rep5: alpha=0.1, lambda=0.2
+ Fold10.Rep5: alpha=0.2, lambda=0.2
- Fold10.Rep5: alpha=0.2, lambda=0.2
+ Fold10.Rep5: alpha=0.4, lambda=0.2
- Fold10.Rep5: alpha=0.4, lambda=0.2
+ Fold10.Rep5: alpha=0.6, lambda=0.2
- Fold10.Rep5: alpha=0.6, lambda=0.2
+ Fold10.Rep5: alpha=0.8, lambda=0.2
- Fold10.Rep5: alpha=0.8, lambda=0.2
+ Fold10.Rep5: alpha=1.0, lambda=0.2
- Fold10.Rep5: alpha=1.0, lambda=0.2
Aggregating results
Selecting tuning parameters
Fitting alpha = 0.1, lambda = 0.0538 on full training set
save(glmnetFit,file = 'glmnetFit')
glmnetFitglmnet
891 samples
54 predictor
2 classes: 'Survived', 'Dead'
No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times)
Summary of sample sizes: 803, 802, 802, 802, 802, 802, ...
Addtional sampling using SMOTE
Resampling results across tuning parameters:
alpha lambda ROC Sens Spec
0.0 0.01000000 0.8633706 0.7322185 0.8875219
0.0 0.01487179 0.8633706 0.7322185 0.8875219
0.0 0.01974359 0.8633706 0.7322185 0.8875219
0.0 0.02461538 0.8633706 0.7322185 0.8875219
0.0 0.02948718 0.8633706 0.7322185 0.8875219
0.0 0.03435897 0.8633800 0.7316303 0.8875219
0.0 0.03923077 0.8639496 0.7304874 0.8878788
0.0 0.04410256 0.8641493 0.7293445 0.8875152
0.0 0.04897436 0.8643947 0.7287563 0.8875152
0.0 0.05384615 0.8644284 0.7281681 0.8871515
0.0 0.05871795 0.8644691 0.7293445 0.8860471
0.0 0.06358974 0.8646370 0.7293445 0.8842290
0.0 0.06846154 0.8646878 0.7293445 0.8842290
0.0 0.07333333 0.8647006 0.7305210 0.8835017
0.0 0.07820513 0.8647505 0.7305210 0.8838653
0.0 0.08307692 0.8649087 0.7305210 0.8842290
0.0 0.08794872 0.8649916 0.7311092 0.8835017
0.0 0.09282051 0.8649588 0.7328739 0.8835017
0.0 0.09769231 0.8648616 0.7317143 0.8834949
0.0 0.10256410 0.8648503 0.7311261 0.8831246
0.0 0.10743590 0.8646905 0.7322857 0.8831246
0.0 0.11230769 0.8646999 0.7322857 0.8831246
0.0 0.11717949 0.8646338 0.7322857 0.8827609
0.0 0.12205128 0.8643888 0.7328908 0.8827609
0.0 0.12692308 0.8642510 0.7323025 0.8831246
0.0 0.13179487 0.8643332 0.7317311 0.8827609
0.0 0.13666667 0.8641931 0.7299832 0.8820337
0.0 0.14153846 0.8640736 0.7305546 0.8813064
0.0 0.14641026 0.8640521 0.7305546 0.8809428
0.0 0.15128205 0.8640607 0.7311429 0.8805791
0.0 0.15615385 0.8640524 0.7311429 0.8805724
0.0 0.16102564 0.8640291 0.7299832 0.8802088
0.0 0.16589744 0.8640812 0.7311429 0.8802088
0.0 0.17076923 0.8640816 0.7311429 0.8798451
0.0 0.17564103 0.8640604 0.7317311 0.8798451
0.0 0.18051282 0.8639123 0.7317479 0.8794815
0.0 0.18538462 0.8639120 0.7323361 0.8791178
0.0 0.19025641 0.8638783 0.7317479 0.8787542
0.0 0.19512821 0.8638465 0.7317311 0.8787542
0.0 0.20000000 0.8637499 0.7323193 0.8791178
0.1 0.01000000 0.8615236 0.7299832 0.8878586
0.1 0.01487179 0.8629577 0.7300168 0.8893266
0.1 0.01974359 0.8636940 0.7311429 0.8875017
0.1 0.02461538 0.8646964 0.7328739 0.8871313
0.1 0.02948718 0.8649522 0.7328235 0.8867542
0.1 0.03435897 0.8656958 0.7316639 0.8849360
0.1 0.03923077 0.8663775 0.7316639 0.8842088
0.1 0.04410256 0.8666989 0.7304874 0.8860202
0.1 0.04897436 0.8669906 0.7298992 0.8852929
0.1 0.05384615 0.8672451 0.7299160 0.8856566
0.1 0.05871795 0.8671391 0.7287731 0.8860202
0.1 0.06358974 0.8669047 0.7293613 0.8871111
0.1 0.06846154 0.8667238 0.7293613 0.8867475
0.1 0.07333333 0.8667519 0.7282185 0.8878384
0.1 0.07820513 0.8666154 0.7276134 0.8882020
0.1 0.08307692 0.8664337 0.7258487 0.8878384
0.1 0.08794872 0.8664226 0.7258487 0.8878384
0.1 0.09282051 0.8663344 0.7258487 0.8874747
0.1 0.09769231 0.8661303 0.7235126 0.8867475
0.1 0.10256410 0.8658229 0.7217647 0.8867475
0.1 0.10743590 0.8654600 0.7217647 0.8867475
0.1 0.11230769 0.8652575 0.7217647 0.8871246
0.1 0.11717949 0.8652522 0.7205714 0.8871246
0.1 0.12205128 0.8651768 0.7205714 0.8871246
0.1 0.12692308 0.8648586 0.7193950 0.8871246
0.1 0.13179487 0.8646340 0.7188067 0.8867609
0.1 0.13666667 0.8644312 0.7170756 0.8867609
0.1 0.14153846 0.8639611 0.7147395 0.8871246
0.1 0.14641026 0.8639498 0.7124034 0.8860337
0.1 0.15128205 0.8635666 0.7106387 0.8863973
0.1 0.15615385 0.8634917 0.7083193 0.8871246
0.1 0.16102564 0.8632558 0.7083193 0.8874882
0.1 0.16589744 0.8629180 0.7083193 0.8863973
0.1 0.17076923 0.8627633 0.7083193 0.8856633
0.1 0.17564103 0.8623693 0.7071597 0.8849360
0.1 0.18051282 0.8622215 0.7054118 0.8842088
0.1 0.18538462 0.8619248 0.7042353 0.8838451
0.1 0.19025641 0.8616131 0.7048235 0.8827542
0.1 0.19512821 0.8613358 0.7048235 0.8827475
0.1 0.20000000 0.8611542 0.7054118 0.8831111
0.2 0.01000000 0.8612944 0.7380504 0.8889293
0.2 0.01487179 0.8626930 0.7316639 0.8885657
0.2 0.01974359 0.8634089 0.7310756 0.8882088
0.2 0.02461538 0.8638316 0.7334286 0.8893064
0.2 0.02948718 0.8646839 0.7293277 0.8903973
0.2 0.03435897 0.8646498 0.7276134 0.8903973
0.2 0.03923077 0.8647611 0.7270420 0.8907609
0.2 0.04410256 0.8647242 0.7264538 0.8907677
0.2 0.04897436 0.8647550 0.7258655 0.8914949
0.2 0.05384615 0.8647958 0.7247227 0.8911246
0.2 0.05871795 0.8645090 0.7223697 0.8903973
0.2 0.06358974 0.8641547 0.7211933 0.8914882
0.2 0.06846154 0.8637091 0.7205882 0.8929428
0.2 0.07333333 0.8635738 0.7194622 0.8918519
0.2 0.07820513 0.8634021 0.7130420 0.8907542
0.2 0.08307692 0.8633759 0.7130084 0.8896633
0.2 0.08794872 0.8627895 0.7118319 0.8892929
0.2 0.09282051 0.8625026 0.7130084 0.8885657
0.2 0.09769231 0.8620265 0.7100672 0.8885657
0.2 0.10256410 0.8616546 0.7083697 0.8871044
0.2 0.10743590 0.8611525 0.7072101 0.8856498
0.2 0.11230769 0.8606753 0.7060504 0.8852862
0.2 0.11717949 0.8599943 0.7048739 0.8838249
0.2 0.12205128 0.8594154 0.7031092 0.8834613
0.2 0.12692308 0.8590396 0.7025210 0.8816431
0.2 0.13179487 0.8585219 0.7025210 0.8805522
0.2 0.13666667 0.8578748 0.7001681 0.8798249
0.2 0.14153846 0.8574801 0.7001681 0.8772795
0.2 0.14641026 0.8569602 0.7001681 0.8750909
0.2 0.15128205 0.8563475 0.7001681 0.8743636
0.2 0.15615385 0.8558435 0.6995798 0.8736229
0.2 0.16102564 0.8555188 0.6989916 0.8739933
0.2 0.16589744 0.8551220 0.6978319 0.8732593
0.2 0.17076923 0.8544483 0.6966555 0.8725320
0.2 0.17564103 0.8537049 0.6960840 0.8703502
0.2 0.18051282 0.8530735 0.6972437 0.8688956
0.2 0.18538462 0.8527238 0.6960672 0.8685320
0.2 0.19025641 0.8521972 0.6943193 0.8685320
0.2 0.19512821 0.8518463 0.6943193 0.8685320
0.2 0.20000000 0.8512619 0.6931597 0.8685320
0.4 0.01000000 0.8630834 0.7258824 0.8867744
0.4 0.01487179 0.8650164 0.7252941 0.8889562
0.4 0.01974359 0.8656004 0.7264706 0.8904040
0.4 0.02461538 0.8662494 0.7288067 0.8903973
0.4 0.02948718 0.8662702 0.7281849 0.8918519
0.4 0.03435897 0.8658306 0.7281849 0.8914949
0.4 0.03923077 0.8654087 0.7258319 0.8922088
0.4 0.04410256 0.8647430 0.7229076 0.8925657
0.4 0.04897436 0.8638668 0.7194118 0.8911111
0.4 0.05384615 0.8627487 0.7182353 0.8903838
0.4 0.05871795 0.8615496 0.7159160 0.8896431
0.4 0.06358974 0.8607646 0.7100504 0.8881886
0.4 0.06846154 0.8594481 0.7094790 0.8878249
0.4 0.07333333 0.8583462 0.7077479 0.8874613
0.4 0.07820513 0.8570572 0.7066050 0.8856431
0.4 0.08307692 0.8560662 0.7042521 0.8856431
0.4 0.08794872 0.8547029 0.7036807 0.8823502
0.4 0.09282051 0.8538884 0.7036807 0.8790707
0.4 0.09769231 0.8529509 0.7036975 0.8739798
0.4 0.10256410 0.8527167 0.7036639 0.8725253
0.4 0.10743590 0.8521346 0.7025042 0.8707071
0.4 0.11230769 0.8517636 0.7019160 0.8692458
0.4 0.11717949 0.8516704 0.6995966 0.8656094
0.4 0.12205128 0.8515968 0.6984202 0.8630707
0.4 0.12692308 0.8512889 0.6972437 0.8601481
0.4 0.13179487 0.8509737 0.6960672 0.8586936
0.4 0.13666667 0.8511588 0.6949076 0.8572391
0.4 0.14153846 0.8502785 0.6931261 0.8557845
0.4 0.14641026 0.8504224 0.6919328 0.8550640
0.4 0.15128205 0.8505893 0.6919496 0.8536094
0.4 0.15615385 0.8504485 0.6884034 0.8521549
0.4 0.16102564 0.8500402 0.6872269 0.8514276
0.4 0.16589744 0.8497028 0.6860840 0.8517912
0.4 0.17076923 0.8489402 0.6860840 0.8517912
0.4 0.17564103 0.8487877 0.6854958 0.8521549
0.4 0.18051282 0.8488834 0.6843193 0.8521549
0.4 0.18538462 0.8486105 0.6843193 0.8521549
0.4 0.19025641 0.8484828 0.6831765 0.8525185
0.4 0.19512821 0.8478834 0.6831765 0.8525185
0.4 0.20000000 0.8477375 0.6820000 0.8525185
0.6 0.01000000 0.8637390 0.7305210 0.8867542
0.6 0.01487179 0.8649849 0.7275798 0.8896566
0.6 0.01974359 0.8654870 0.7311429 0.8914815
0.6 0.02461538 0.8655042 0.7293782 0.8940269
0.6 0.02948718 0.8653799 0.7276303 0.8940269
0.6 0.03435897 0.8647460 0.7224034 0.8929360
0.6 0.03923077 0.8641484 0.7177311 0.8925657
0.6 0.04410256 0.8625813 0.7071933 0.8911044
0.6 0.04897436 0.8608443 0.7048571 0.8900135
0.6 0.05384615 0.8586451 0.7031092 0.8896498
0.6 0.05871795 0.8570419 0.7036975 0.8871044
0.6 0.06358974 0.8553448 0.7030756 0.8849226
0.6 0.06846154 0.8539155 0.7048403 0.8812727
0.6 0.07333333 0.8534185 0.7054286 0.8725387
0.6 0.07820513 0.8532213 0.7054286 0.8688889
0.6 0.08307692 0.8533689 0.7054286 0.8645253
0.6 0.08794872 0.8531760 0.7025042 0.8623434
0.6 0.09282051 0.8530597 0.7036639 0.8605253
0.6 0.09769231 0.8526678 0.7007227 0.8528822
0.6 0.10256410 0.8532871 0.6983697 0.8521549
0.6 0.10743590 0.8533934 0.6949076 0.8506869
0.6 0.11230769 0.8521404 0.6925546 0.8510505
0.6 0.11717949 0.8515733 0.6913613 0.8506869
0.6 0.12205128 0.8505164 0.6907731 0.8506869
0.6 0.12692308 0.8498630 0.6878487 0.8510505
0.6 0.13179487 0.8490281 0.6860840 0.8517912
0.6 0.13666667 0.8482085 0.6837647 0.8521549
0.6 0.14153846 0.8476043 0.6831765 0.8521549
0.6 0.14641026 0.8466020 0.6831765 0.8525185
0.6 0.15128205 0.8441036 0.6820000 0.8525185
0.6 0.15615385 0.8430352 0.6814118 0.8525185
0.6 0.16102564 0.8417018 0.6814118 0.8525185
0.6 0.16589744 0.8402419 0.6814118 0.8525185
0.6 0.17076923 0.8397784 0.6814118 0.8525185
0.6 0.17564103 0.8393477 0.6814118 0.8525185
0.6 0.18051282 0.8391161 0.6814118 0.8525185
0.6 0.18538462 0.8388541 0.6814118 0.8525185
0.6 0.19025641 0.8389419 0.6814118 0.8525185
0.6 0.19512821 0.8367853 0.6814118 0.8525185
0.6 0.20000000 0.8350971 0.6814118 0.8525185
[ reached getOption("max.print") -- omitted 80 rows ]
ROC was used to select the optimal model using the largest value.
The final values used for the model were alpha = 0.1 and lambda = 0.05384615.
plot(glmnetFit,plotType='level')plot(varImp(glmnetFit))densityplot(glmnetFit,pch='|')predict(glmnetFit,type = 'prob') -> train.glmnet.Probs
histogram(~Survived+Dead,train.glmnet.Probs)re <-
resamples(
x = list(
xgb = xgbFit,
xgbsmote = xgbsmoteFit,
xgbdown = xgbdownFit,
rf = rfFit.y,
rfsmote = rfsmoteFit.y,
gbm = boostFit,
elastinet=glmnetFit,
crf = crfFit,
crfFit_class= crfFit_class,
xgbsmall=xgbsmallFit,
cforest=cforestFit
)
)
# summary(re)
bwplot(re)dotplot(re)# summary(diff(re))simulatedTrain <- data.frame(Class = train.imp$Survived)
simulatedTrain$rf = predict(rfFit.y,type = 'prob')[[1]]
simulatedTrain$rfsmote = predict(rfsmoteFit.y,type = 'prob')[[1]]
simulatedTrain$xgb = predict(xgbFit,type = 'prob')[[1]]
simulatedTrain$xgbsmote = predict(xgbsmoteFit,type = 'prob')[[1]]
simulatedTrain$boost = predict(boostFit,type = 'prob')[[1]]calCurve <- calibration(x = Class~rf+rfsmote+xgb+xgbsmote+boost,data = simulatedTrain)
xyplot(calCurve,auto.key=list(columns=3))boostsigmoidCal <- glm(relevel(Class,ref='Dead')~boost,simulatedTrain,family = 'binomial')
coef(summary(boostsigmoidCal)) Estimate Std. Error z value Pr(>|z|)
(Intercept) -3.669148 0.2207273 -16.62299 4.750220e-62
boost 7.770855 0.4578102 16.97396 1.279925e-64
simulatedTrain$boostSig = predict(boostsigmoidCal,type = 'response')
xgbsmotesigmoidCal <- glm(relevel(Class,ref='Dead')~xgbsmote,simulatedTrain,family = 'binomial')
coef(summary(xgbsmotesigmoidCal)) Estimate Std. Error z value Pr(>|z|)
(Intercept) -2.871536 0.1677890 -17.11397 1.167528e-65
xgbsmote 7.257433 0.4580111 15.84554 1.509220e-56
simulatedTrain$xgbsmoteSig = predict(xgbsmotesigmoidCal,type = 'response')
calibration(x = Class~boost+boostSig,data = simulatedTrain) %>%
xyplot(auto.key=list(columns=2))calibration(x = Class~xgbsmote+xgbsmoteSig,data = simulatedTrain) %>%
xyplot(auto.key=list(columns=2))test.imp <- test.raw
#Embarked
test.imp$Embarked[is.na(test.imp$Embarked)]='S'
#Title
test.raw$title <- str_extract(pattern = '[a-zA-Z]+(?=\\.)',string = test.raw$Name)
#test.raw$title <- as.factor(test.raw$title)
test.imp$title <- as.character(test.raw$title)
test.imp$title[test.imp$title %in% c('Col','Major')] <- 'Officer'
test.imp$title[test.imp$title %in% c('Don','Dr','Rev','Sir','Jonkheer','Countess','Lady','Dona')] <- 'Royalty'
test.imp$title[test.imp$title %in% c('Mrs','Mme')] <- 'Mrs'
test.imp$title[test.imp$title %in% c('Ms','Mlle')] <- 'Miss'
test.imp$title <- as.factor(test.imp$title)
#Missing age
missing.age <- test.imp %>% filter(is.na(Age))
age.predicted <- predict(rfFit, newdata = missing.age)
test.imp$Age[is.na(test.imp$Age)] <- age.predicted
test.imp$Age[test.imp$title=='Master' & test.imp$Age > 20] <- 4
#Child
test.imp$child <- 0
test.imp$child[test.imp$Age<18] <- 1
test.imp$almostadult <- as.numeric(between(test.imp$Age,16,18))
#Young/old
test.imp$Young <- ifelse(test.imp$Age<10,1,0)
test.imp$Seniors <- ifelse(test.imp$Age>60,1,0)
#Family Related
test.imp$TotalFam <- test.imp$SibSp + test.imp$Parch + 1
test.imp$Name <- NULL
test.imp$LargeParCh <- as.numeric(test.imp$Parch>=3)
test.imp$LargeSibSp <- as.numeric(test.imp$SibSp>=3)
test.imp$Single <- ifelse(test.imp$TotalFam==1,1,0)
test.imp$Couple <- ifelse(test.imp$TotalFam==2,1,0)
test.imp$Family <- ifelse(test.imp$TotalFam>4,1,0)
#Cabin & Deck
test.imp$CabinMissing <- as.numeric(is.na(test.raw$Cabin))
test.imp$CabinCode <- map_chr(test.raw$Cabin,~str_split(string = .x,pattern = '')[[1]][1])
test.imp$CabinCode[is.na(test.imp$CabinCode)] <- 'U'
test.imp$CabinNum <- as.numeric(map_chr(test.raw$Cabin,~str_split(string = .x,pattern = '[a-zA-Z]')[[1]][2]))
test.imp$CabinNum <- map_int(test.imp$CabinNum, ~as.integer(str_split(.x,pattern = '',simplify = T)[1][1]))
test.imp$CabinNum[is.na(test.imp$CabinNum)] <- 0
test.imp$CabinCode <- factor(
x = test.imp$CabinCode,
levels = unique(train.imp$CabinCode)
)
test.imp$TopDeck <- ifelse(test.imp$CabinCode %in% c('A','B'),1,0)
test.imp$MidDeck <- ifelse(test.imp$CabinCode %in% c('C','D'),1,0)
test.imp$LowerDeck <- ifelse(test.imp$TopDeck==0 & test.imp$MidDeck ==0 ,1,0)
test.imp$NumberofCabins <- map_int(test.raw$Cabin,~str_split(string = .x,pattern = ' ')[[1]] %>% length)
test.imp$Cabin <- NULL
# Ticket
test.imp %<>%
mutate(
Ticket = str_to_upper(Ticket) %>%
str_replace_all(pattern = regex(pattern = '[.\\/]'),replacement = ''),
TicketNum = str_extract(Ticket,pattern = regex('([0-9]){3,}')),
TicketNumStart = map_int(TicketNum,~as.integer(str_split(.x,pattern = '',simplify = T)[1])),
TicketNumLen = map_int(TicketNum,~dim(str_split(.x,pattern = '',simplify = T))[2]),
TicketChar = str_extract(Ticket,pattern = regex('^[a-zA-Z/\\.]+'))
) %>%
mutate(
TicketChar = map_chr(.x=TicketChar,
.f=~str_split(string=.x, pattern = '',simplify = T)[1])
) %>%
mutate(
TicketChar = ifelse(is.na(TicketChar),'U',TicketChar),
TicketNumStart = ifelse(is.na(TicketNumStart),0,TicketNumStart),
TicketNumLen = ifelse(is.na(TicketNumLen),0,TicketNumLen),
)
test.imp$Ticket <- NULL
test.imp$TicketNum <- NULL
#Fare
test.imp$Fare[is.na(test.imp$Fare)] <- 14.4542
# test.imp$Fare[test.imp$Fare>232] <- 232dumV <- dummyVars(formula = ~.,data = test.imp)
Dtest <- predict(dumV,test.imp)
boostPred <- ifelse(predict(boostFit$finalModel,newdata = Dtest,n.trees = boostFit$bestTune$n.trees,type = 'response')>0.5,1,2)Combined data… ensemble voting model…
d <- data.frame(boostPred,xgbPred,rfPred,xgbsmotePred,rfsmotePred,boostSigPred,crfPred,crfClassPred)
map_df(d,~as.numeric(.x)*-1+2) -> d
d %<>%
mutate(Avg=rowMeans(.),
Sums = rowSums(.),
EnsembleVote = as.numeric(Sums>4))
ensemblePred <- d$EnsembleVotePID <-
readData(Titanic.path,
test.data.file,
test.column.types,
missing.types)
PID <- PID$PassengerIdfor(m in ls(pattern = 'Pred')) {
write.csv(
x = data.frame(
PassengerId = PID,
Survived = as.numeric(eval(parse(text = m))) * -1 + 2
),
file = paste0(m,'.csv'),
row.names = F
)
}d %<>%
mutate(Avg=rowMeans(.),
Sums = rowSums(.),
EnsembleVote = as.numeric(Sums>4))Error in d %<>% mutate(Avg = rowMeans(.), Sums = rowSums(.), EnsembleVote = as.numeric(Sums > :
could not find function "%<>%"
I think this approach depends on the academic background and the industry of the analyst. Prof Srinivasan, and my mentor at work both have strong statistical academic backgrounds, and both believe in thorough EDA of the data. I’ve also noticed this approach from individuals in the banking & insurance industry - perhaps due to regulatory requirements. On the other hand, folks trained in computer science and algorithmic data science tend to underplay the importance of thorough EDA.↩
To iterate variable names in ggplot, use ggplot(...)+aes_string(...) in place of ggplot(...,aes(...)).↩
Read more about beanplots here: https://cran.r-project.org/web/packages/beanplot/vignettes/beanplot.pdf↩